Video analytics algorithm for detecting objects crossing lines in specific direction using blob-based analysis

Abstract

This paper presents a video analytics algorithm for detecting event of objects crossing predetermined line-of-interest in the scene in specific direction. A fast blob-based analysis is formulated to detect the event, combined with the object detection and tracking to detect and tracked the object as motion blobs. Proposed algorithm is tested in real outdoor surveillance environment for 24 hours in 3 days to evaluate the detection accuracies in different scenarios. For comparison, the testing is done against a commercial surveillance system. The results show that the proposed algorithm provides better accuracy in all scenarios, while maintaining real-time processing capacity.

Multiple Objects Tracking Using CAMShift Algorithm and Implementation of Trip Wire

“…This tripwire is drawn on video. With help of this user can restrict any area of total video scene [11]. Direction for tripping is depending upon user requirement.…”