NDLI: Multi-feature real time pedestrian detection from dense stereo SORT-SGM reconstructed urban traffic scenarios

Content Provider	IEEE Xplore Digital Library
Author	Giosan, Ion Nedevschi, Sergiu
Copyright Year	2014
Description	Author affiliation: Computer Science Department, Technical University of Cluj-Napoca, Romania (Giosan, Ion; Nedevschi, Sergiu)
Abstract	In this paper, a real-time system for pedestrian detection in traffic scenes is proposed. It takes the advantage of having a pair of stereo video-cameras for acquiring the image frames and uses a sub-pixel level optimized semi-global matching (SORT-SGM) based stereo reconstruction for computing the dense 3D points map with high accuracy. A multiple paradigm detection module considering 2D, 3D and optical flow information is used for segmenting the candidate obstacles from the scene background. Novel features like texture dissimilarity, humans' body specific features, distance related measures and speed are introduced and combined in a feature vector with traditional features like HoG score, template matching contour score and dimensions. A random forest (RF) classifier is trained and then applied in each frame for distinguishing the pedestrians from other obstacles based on the feature vector. A k-NN algorithm on the classification results over the last frames is applied for improving the accuracy and stability of the tracked obstacles. Finally, two comparisons are made: first between the classification results obtained by using the new SORT-SGM and the older local matching approach for stereo reconstruction and the second by comparing the different features RF classification results with other classifiers' results.
Starting Page	131
Ending Page	142
File Size	1223850
Page Count	12
File Format	PDF
ISBN	9789897581335
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-01-05
Publisher Place	Portugal
Access Restriction	Subscribed
Rights Holder	SCITEPRESS
Subject Keyword	Dense Stereo Three-dimensional displays Tracking Driving Assistance Systems Feature extraction Cameras SORT-SGM Multi Features Classification algorithms Pedestrian Detection Image reconstruction Vehicles
Content Type	Text
Resource Type	Article

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