The Experts below are selected from a list of 5814 Experts worldwide ranked by ideXlab platform
Danilo Caceres Hernandez - One of the best experts on this subject based on the ideXlab platform.
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Stairway detection based on single camera by motion stereo
International Conference Industrial Engineering & Other Applications Applied Intelligent Systems, 2011Co-Authors: Danilo Caceres Hernandez, Taeho KimAbstract:In this paper we are proposing a method for detecting the localization of indoor Stairways. This is a fundamental step for the implementation of autonomous stair climbing navigation and passive alarm systems intended for the blind and visually impaired. Both of these kinds of systems must be able to recognize parameters that can describe Stairways in unknown environments. This method analyzes the edges of a Stairway based on planar motion tracking and directional filters. We extracted the horizontal edge of the stairs by using the Gabor Filter. From the specified set of horizontal line segments, we extracted a hypothetical set of targets by using the correlation method. Finally, we used the discrimination method to find the ground plane, using the behavioral distance measurement. Consequently, the remaining information is considered as an indoor Stairway candidate region. As a result, testing was able to prove its effectiveness.
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IEA/AIE (1) - Stairway detection based on single camera by motion stereo
Lecture Notes in Computer Science, 2011Co-Authors: Danilo Caceres Hernandez, Taeho KimAbstract:In this paper we are proposing a method for detecting the localization of indoor Stairways. This is a fundamental step for the implementation of autonomous stair climbing navigation and passive alarm systems intended for the blind and visually impaired. Both of these kinds of systems must be able to recognize parameters that can describe Stairways in unknown environments. This method analyzes the edges of a Stairway based on planar motion tracking and directional filters. We extracted the horizontal edge of the stairs by using the Gabor Filter. From the specified set of horizontal line segments, we extracted a hypothetical set of targets by using the correlation method. Finally, we used the discrimination method to find the ground plane, using the behavioral distance measurement. Consequently, the remaining information is considered as an indoor Stairway candidate region. As a result, testing was able to prove its effectiveness.
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Stairway tracking based on automatic target selection using directional filters
2011 17th Korea-Japan Joint Workshop on Frontiers of Computer Vision (FCV), 2011Co-Authors: Danilo Caceres HernandezAbstract:In this paper we are proposing to detect the localization and recognition of an indoor Stairway. This is a fundamental step in the implementing of autonomous stair climbing navigation, as well as the implementing of passive alarm systems intended for the blind and visually impaired. Both of these systems must be able to recognize parameters that can describe Stairways in unknown environments. This method analyzes the edges of a Stairway based on planar motion tracking and directional filters. We extracted the horizontal edge of the stairs by using the Gabor Filter. From the specified set of horizontal line segments, we extracted a hypothetical set of targets by using the correlation method. Finally, we are proposing the use of the discrimination method to find the ground plane, using the behavioral distance measurement. Consequently, the remaining information is considered as an indoor Stairway candidate region. After the Stairway candidate region was obtained by applying our approach mentioned in the previous step, we proceeded with the candidate assessment tracking, based on the criterion of the minimum displaced frame difference, ground truth, as well as the rigidity of the stair. As a result, testing was able to prove its effectiveness.
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Stairway segmentation using Gabor Filter and vanishing point
2011 IEEE International Conference on Mechatronics and Automation, 2011Co-Authors: Danilo Caceres HernandezAbstract:This paper we are proposing to detect the localization and recognition of an indoor Stairway. This is a fundamental step in the implementing of autonomous stair climbing navigation, as well as the implementing of passive alarm systems intended for the blind and visually impaired. This method analyzes the edges of a Stairway based on planar motion tracking and directional filters. The horizontal edges of the stairs are extracted by using the Gabor Filter. Then, the vanishing point is extracted from the specified set of line segments in the aim of facilitating the reconstruction of the stair treads. After this stage, we extract a hypothetical set of targets by using the correlation method. Finally, we employ the discrimination method to find the ground plane, using the behavioral distance measurement. Consequently, the remaining information is considered as an indoor Stairway candidate region. As a result, testing is able to prove its effectiveness.
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Outdoor Stairway segmentation using vertical vanishing point and directional filter
International Forum on Strategic Technology 2010, 2010Co-Authors: Danilo Caceres HernandezAbstract:In this paper we propose to detect the localization and recognition of outdoor Stairway. This problem is the most fundamental step in solving the problem of autonomous stair climbing navigation. An autonomous system must be able to recognize parameters that can describe Stairways in unknown environments. First, we proposed to extract the longest segments of diagonal lines from the edge image in order to identify a set of diagonal line segments candidate. This can provide information itself. Based on the vanishing point we defined the area where the stair candidate is located. We then applied the Gabor filter to detect the horizontal line. Finally, after combining the previous two steps, the algorithm defined the candidate stair area in the image. A set of stair images were used within a variety of conditions in our proposed method. As a result, testing was able to prove its effectiveness.
Shriniwas S Arkatkar - One of the best experts on this subject based on the ideXlab platform.
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Effect of Stairway width on pedestrian flow characteristics at railway stations
Transportation Letters, 2016Co-Authors: Shah Jiten, Joshi Gaurang, Parida Purnima, Shriniwas S ArkatkarAbstract:The overall efficiency of transit operation depends on effective operation of various facilities like transit units, transfer stations and access infrastructure. Stairways at transit stations are vital links between different interconnected elements like platforms and foot over bridges. Transfer rate of pedestrians through Stairway primarily depends on its geometric design. Many previous studies have reported that the Stairway dimensions such as stair gradient, height of riser and length of Stairway influence walking speed significantly. The walking speed is also governed by the space available to the individual pedestrian. The movement will be restricted with reduction in space and hence, in principal it depends on the width of the facility. In order to understand the effect of available space on the pedestrian flow characteristics, present study has been carried out at six Stairways with different dimensions at two railway stations; one suburban rail transit and the other intercity railway station in In...
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Determination of Pedestrian Level of Service for Undivided Stairways at Suburban Rail Stations in Developing Countries
Transportation Research Record, 2016Co-Authors: Jiten H Shah, Gaurang Joshi, Purnima Parida, Shriniwas S ArkatkarAbstract:Bidirectional pedestrian movement is predominant on undivided Stairways. Under a given situation, it is imperative to assess the level of service (LOS) provided to pedestrians on a Stairway. Currently, limited guidelines are available for assessing the LOS on undivided Stairways in South Asian countries. With this motivation, the current study was conducted to develop LOS criteria for undivided Stairways by using the case of a busy suburban railway station at Dadar in Mumbai, India. The LOS can be considered as the classification of different pedestrian flow states on the basis of facility performance. This study is focused on employing the k-means clustering technique to define the LOS thresholds of relevant flow variables. Data on four major variables of pedestrian flow are used: space per pedestrian, flow rate, walking speed, and volume-to-capacity ratio. Derived LOS thresholds are then delineated by using the rate of change in slope for the average walking speed of pedestrians. LOS thresholds are furt...
Taeho Kim - One of the best experts on this subject based on the ideXlab platform.
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Stairway detection based on single camera by motion stereo
International Conference Industrial Engineering & Other Applications Applied Intelligent Systems, 2011Co-Authors: Danilo Caceres Hernandez, Taeho KimAbstract:In this paper we are proposing a method for detecting the localization of indoor Stairways. This is a fundamental step for the implementation of autonomous stair climbing navigation and passive alarm systems intended for the blind and visually impaired. Both of these kinds of systems must be able to recognize parameters that can describe Stairways in unknown environments. This method analyzes the edges of a Stairway based on planar motion tracking and directional filters. We extracted the horizontal edge of the stairs by using the Gabor Filter. From the specified set of horizontal line segments, we extracted a hypothetical set of targets by using the correlation method. Finally, we used the discrimination method to find the ground plane, using the behavioral distance measurement. Consequently, the remaining information is considered as an indoor Stairway candidate region. As a result, testing was able to prove its effectiveness.
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IEA/AIE (1) - Stairway detection based on single camera by motion stereo
Lecture Notes in Computer Science, 2011Co-Authors: Danilo Caceres Hernandez, Taeho KimAbstract:In this paper we are proposing a method for detecting the localization of indoor Stairways. This is a fundamental step for the implementation of autonomous stair climbing navigation and passive alarm systems intended for the blind and visually impaired. Both of these kinds of systems must be able to recognize parameters that can describe Stairways in unknown environments. This method analyzes the edges of a Stairway based on planar motion tracking and directional filters. We extracted the horizontal edge of the stairs by using the Gabor Filter. From the specified set of horizontal line segments, we extracted a hypothetical set of targets by using the correlation method. Finally, we used the discrimination method to find the ground plane, using the behavioral distance measurement. Consequently, the remaining information is considered as an indoor Stairway candidate region. As a result, testing was able to prove its effectiveness.
Na Zheng - One of the best experts on this subject based on the ideXlab platform.
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contamination assessment and health risk of arsenic exposure to Stairway dust in the zinc smelting district northeast china
Environmental Geochemistry and Health, 2019Co-Authors: Na Zheng, Sujuan Xu, Lin Tang, Yan Yu, Xiaofeng JiAbstract:Stairway dust samples were collected from residential communities in Huludao city to investigate population health risk of arsenic (As) exposure through Stairway dust. ArcGIS software was used to analyze As spatial distribution in Huludao city. Hazard index was applied to assess health risk due to exposure to As in Stairway dust. The results were that As concentrations ranged from 13.26 to 237.58 mg kg−1, and the mean value was 59.64 mg kg−1, which was seven times as high as the background value of Liaoning Province. The pattern of spatial distribution was concentric rings as the center of Huludao zinc plant, with the extension to the northeast and southwest. The average value of Igeo was 2.176, which fell into moderately polluted level. For non-carcinogenic risk, the hazard indexes were less than 1, indicating that there was almost no health risk for residents exposed to Stairway dust. But population risk exposure to dust would increase rapidly with exposure time in Stairway. The highest contribution to the overall figure of non-carcinogenic risk and carcinogenic risk appeared to be ingestion of substrate particles followed by inhalation pathway and dermal absorption of As in dust samples. And for carcinogenic risk, the risk values were lower than the threshold range of EPA’s safe limits (1 × 10−6 and 1 × 10−4), suggesting that potential cancer risk of As due to exposure to Stairway dust can be acceptable.
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Heavy metals exposure of children from Stairway and sidewalk dust in the smelting district, northeast of China
Atmospheric Environment, 2010Co-Authors: Na Zheng, Jingshuang Liu, Qichao Wang, Zhongzhu LiangAbstract:Abstract The aim of this work was to study metals accumulation in Stairway (inside the residential building) and sidewalk (outside the residential building) dust, and health risk of children due to dust exposure. The investigation included the: (a) spatial distributions of Hg, Pb, Cd, Zn and Cu in Stairway and sidewalk dust, (b) source analysis of metals in Stairway and sidewalk dust, and (c) assessment of the children health risks due to metals exposure from Stairway and sidewalk dust. In the smelting district of Huludao, the maximum Hg, Pb, Cd, Zn and Cu contents in Stairway dust were 5.324, 4594, 936.8, 48 253, 1377 mg kg−1, respectively, and were 144, 213, 8674, 760 and 69.5 times as high, respectively, as the background values in soil. A strong positive relationship was shown between the Stairway and sidewalk dust for each metal (p
Zhongzhu Liang - One of the best experts on this subject based on the ideXlab platform.
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Heavy metals exposure of children from Stairway and sidewalk dust in the smelting district, northeast of China
Atmospheric Environment, 2010Co-Authors: Na Zheng, Jingshuang Liu, Qichao Wang, Zhongzhu LiangAbstract:Abstract The aim of this work was to study metals accumulation in Stairway (inside the residential building) and sidewalk (outside the residential building) dust, and health risk of children due to dust exposure. The investigation included the: (a) spatial distributions of Hg, Pb, Cd, Zn and Cu in Stairway and sidewalk dust, (b) source analysis of metals in Stairway and sidewalk dust, and (c) assessment of the children health risks due to metals exposure from Stairway and sidewalk dust. In the smelting district of Huludao, the maximum Hg, Pb, Cd, Zn and Cu contents in Stairway dust were 5.324, 4594, 936.8, 48 253, 1377 mg kg−1, respectively, and were 144, 213, 8674, 760 and 69.5 times as high, respectively, as the background values in soil. A strong positive relationship was shown between the Stairway and sidewalk dust for each metal (p
