Pedestrian detection and tracking using temporal differencing and HOG features

作者：Barbu Tudor^*

来源：Computers & Electrical Engineering, 2014, 40(4): 1072-1079.

DOI：10.1016/j.compeleceng.2013.12.004

This article proposes a multiple human detection and tracking approach. A moving person identification technique is provided first. The video objects are detected using a novel temporal differencing based procedure and several mathematical morphology-based operations. Then, our technique determines what moving image objects represent pedestrian people, by testing several conditions related to human bodies and detecting the skin regions from the movie frames. A robust human tracking method using a Histogram of Oriented Gradient (HOG) based template matching process is then introduced in our paper. Some person detection and tracking experiments and method comparisons are also described.

• 出版日期2014-5