Fast Pedestrian Detection Using Slice-Based Motion Analysis

This paper presents a novel slice-based approach to detect pedestrians in still images. A pedestrian is divided into limited numbers of slice-based sub-regions through a spatio-temporal slice processing. First, sub-regions of interest are detected in different spatio-temporal slice images. Then, a clustering algorithm is proposed to combine these sub-regions into individual pedestrians based on their consistent motion patterns. Experimental results show that the proposed method can tolerate sub-region missing, i.e. partial occlusions, and reduce the computational cost.