Intelligent Video Surveillance: Aggressive Movement Detection

Intelligent Video Surveillance: Aggressive Movement Detection 

Author: Suzaimah Ramli, Tuan Khalisah Tan Zizi @ Tuan Zizi & Norulzahrah Mohd Zainudin
Publisher: UPNM Press
ISBN: 9789672414445
Weight: 0.2 kg
Pages: 116pp
Year: 2021
Price: RM45

In this book there are five chapters that discuss approach to figure out human aggressive movements using two methods which are movement based and colour based. For the movement based, Horn-Schunck optical flow algorithm is chosen in order to find the flow vector for all video frames. Optical flow is a popular method to detect the object and can calculate the motion of each pixel between two frames, and thus it provides a possible way to get a velocity of the object movement. The video frames are collected using the digital camera and thermal camera. This book guides and discovers the patterns of body distracted movement so that suspect of aggression can be detected automatically without body contact. Using this method, the aggressive and non-aggressive video frames are then analysed and utilised to define the aggressiveness of humans.

This book embarks on the following objectives which are to extract the suitable features that can represent aggressiveness, to develop an algorithm that can discriminate between aggressive and non - aggressive features for human movement detection and to adapt into the digital and thermal video images. The experiments conducted carried out to compare the Horn-Schunck algorithm under different types of images. Overall the combination of thermal images and Horn Schunck optical flow proves to be able to accurately distinguish, detect and track the human aggressiveness. In future work, the intelligence system for human movement detection that can be applied at the Malaysia border area as a virtual guard system.