Title :
Human behavioral analytics system for video surveillance
Author :
Junn Min Pang ; Vooi Voon Yap ; Chit Siang Soh
Author_Institution :
Fac. of Eng. & Green Technol., Univ. Tunku Abdul Rahman, Kampar, Malaysia
Abstract :
Video surveillance system is an important system to monitor safety and security for public place. Unfortunately, most of them do not have additional. In this paper, we have proposed an algorithm for detect human aggressive behavior by using Microsoft Kinect sensor. In our proposed algorithm, Cartesian coordinate formula is used for calculate position of body joints detected by Microsoft Kinect sensor. By analysis position of body joints, we can differentiate whether it is a normal or aggressive behavior. Experiment results show that our proposed method has an average accuracy of 95.83% for punching pose, and almost perfectly detected for kicking and normal behavior.
Keywords :
image motion analysis; image sensors; pose estimation; video surveillance; Cartesian coordinate formula; Microsoft Kinect sensor; body joint position analysis; human aggressive behavior detection; human behavioral analytic system; kicking behavior; normal behavior; public place safety; public place security; punching pose; video surveillance; Accuracy; Cameras; Conferences; Control systems; Joints; Legged locomotion; Punching; Human basic behavior analysis; fall detection; human aggressive behavior analysis; kinect;
Conference_Titel :
Control System, Computing and Engineering (ICCSCE), 2014 IEEE International Conference on
Print_ISBN :
978-1-4799-5685-2
DOI :
10.1109/ICCSCE.2014.7072683