Multiple Pedestrians Tracking using Histogram of Oriented Gradient and Occlusion Detection
기울기 히스토그램 및 폐색 탐지를 통한 다중 보행자 추적

Joon-Yong Jeong, Byung-Man Jung, Kyu-Won Lee
2012 The Journal of the Korean Institute of Information and Communication Engineering  
In this paper, multiple pedestrians tracking system using Histogram of Oriented Gradient and occlusion detection is proposed. The proposed system is applicable to Intelligent Surveillance System. First, we detect pedestrian in a image sequence using pedestrian's feature. To get pedestrian's feature, we make block-histogram using gradient's direction histogram based on HOG(Histogram of Oriented Gradient), after that a pedestrian region is classified by using Linear-SVM(Support Vector Machine)
more » ... Vector Machine) training. Next, moving objects are tracked by using position information of the classified pedestrians. And we create motion trajectory descriptor which is used for content based event retrieval. The experimental results show that the proposed method is more fast, accurate and effective than conventional methods. 키워드 보행자 추적, 기울기 방향성 히스토그램, 움직임 디스크립터, 다중 객체 추적
doi:10.6109/jkiice.2012.16.4.812 fatcat:hoeqr552njeqdepqax6dxvdyim