Stereo-Based Framework for Pedestrian Detection with Partial Occlusion Handling

2012 ◽  
Author(s):  
Samuele Martelli ◽  
Marco Cristani ◽  
Vittorio Murino
Keyword(s):  
Pedestrian Detection ◽  
Partial Occlusion ◽  
Occlusion Handling

scholarly journals Pyramidal Part-Based Model for Partial Occlusion Handling in Pedestrian Classification

2020 ◽  
Vol 2020 ◽  
pp. 1-15 ◽  
Author(s):  
M. Thu ◽  
N. Suvonvorn
Keyword(s):  
Intelligent Transportation System ◽  
Majority Vote ◽  
Pedestrian Detection ◽  
Confidence Score ◽  
Partial Occlusion ◽  
Occlusion Handling ◽  
The Road ◽  
Proposed Model ◽  
Prince Of Songkla University ◽  
Human Pose

Pedestrian detection and classification are of increased interest in the intelligent transportation system (ITS), and among the challenging issues, we can find limitations of tiny and occluded appearances, large variation of human pose, cluttered background, and complex environment. In fact, a partial occlusion handling is important in the case of detecting pedestrians, in order to avoid accidents between pedestrians and vehicles, since it is difficult to detect when pedestrians are suddenly crossing the road. To solve the partial occlusion problem, a pyramidal part-based model (PPM) is proposed to obtain a more accurate prediction based on the majority vote of the confidence score of the visible parts by cascading the pyramidal structure. The experimental results on the proposed scheme achieved 96.25% accuracy on the INRIA dataset and 81% accuracy on the PSU (Prince of Songkla University) dataset. Our proposed model can be applied in the real-world environment to classify the occluded part of pedestrians with the various information of part representation at each pyramid layer.

scholarly journals ACM Based ROI Extraction for Pedestrian Detection with Partial Occlusion Handling

2015 ◽  
Vol 46 ◽  
pp. 45-52 ◽  
Author(s):  
Viswajith P. Viswanath ◽  
N.K. Ragesh ◽  
Madhu S. Nair
Keyword(s):  
Pedestrian Detection ◽  
Partial Occlusion ◽  
Occlusion Handling ◽  
Roi Extraction

Rapid Pedestrian Detection Based on Deep Omega-Shape Features with Partial Occlusion Handing

2018 ◽  
Vol 49 (3) ◽  
pp. 923-937 ◽  
Author(s):  
Yuting Xu ◽  
Xue Zhou ◽  
Pengfei Liu ◽  
Hongbing Xu
Keyword(s):  
Pedestrian Detection ◽  
Partial Occlusion ◽  
Shape Features
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