Autonomous Real Time Surveillance System
Nilesh Kadam · IOSR Journal of Engineering · 2013
Video surveillance [1] is becoming increasingly important for the security-sensitive areas such as airports, banks, casinos, and parking lots.Many efforts have been made in this field,to detect and track the human and human activities in scene and recognize simple motion such as walking and running.In this paper we present a autonomous real-time surveillance[3] sys-tem framework for recognizing complex activities in.In our system we use javacv and opencv to detect moving objects in the scene, and use tracking algorithm to record activities for further analysis.Compared with the traditional surveillance system, an autonomous system surveillance offers much better flexibility in video content processing and transmission [5].At the same time, it, also, can easily implement advanced features such as real time transmission of video and audio if connected through known ip address I.