31 October 2016 Pedestrian detection based on redundant wavelet transform
Author Affiliations +
Intelligent video surveillance is to analysis video or image sequences captured by a fixed or mobile surveillance camera, including moving object detection, segmentation and recognition. By using it, we can be notified immediately in an abnormal situation. Pedestrian detection plays an important role in an intelligent video surveillance system, and it is also a key technology in the field of intelligent vehicle. So pedestrian detection has very vital significance in traffic management optimization, security early warn and abnormal behavior detection. Generally, pedestrian detection can be summarized as: first to estimate moving areas; then to extract features of region of interest; finally to classify using a classifier. Redundant wavelet transform (RWT) overcomes the deficiency of shift variant of discrete wavelet transform, and it has better performance in motion estimation when compared to discrete wavelet transform. Addressing the problem of the detection of multi-pedestrian with different speed, we present an algorithm of pedestrian detection based on motion estimation using RWT, combining histogram of oriented gradients (HOG) and support vector machine (SVM). Firstly, three intensities of movement (IoM) are estimated using RWT and the corresponding areas are segmented. According to the different IoM, a region proposal (RP) is generated. Then, the features of a RP is extracted using HOG. Finally, the features are fed into a SVM trained by pedestrian databases and the final detection results are gained. Experiments show that the proposed algorithm can detect pedestrians accurately and efficiently.
© (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Lin Huang, Lin Huang, Liping Ji, Liping Ji, Ping Hu, Ping Hu, Tiejun Yang, Tiejun Yang, } "Pedestrian detection based on redundant wavelet transform", Proc. SPIE 10020, Optoelectronic Imaging and Multimedia Technology IV, 1002017 (31 October 2016); doi: 10.1117/12.2246044; https://doi.org/10.1117/12.2246044


GAYE: a face recognition system
Proceedings of SPIE (May 27 2004)
MPEG-7-based video annotation and browsing
Proceedings of SPIE (November 25 2003)
Flow estimation for motion analysis on compressed domain
Proceedings of SPIE (December 17 2003)
A new method for target detection based on analysis of...
Proceedings of SPIE (October 29 2009)

Back to Top