Intrusion Detection and Cooperative Tracking Using PTZ Network Thermal Imagers

Abstract

Nowadays more and more network thermal imaging cameras are working over distributed networks, offering the capability of online remote intelligent video surveillance. In this paper, we propose an original intrusion detection and cooperative tracking approach applied for PTZ (Pan/Tilt/Zoom) network thermal imagers. It consists of three modules. The key module is the real-time FOV (Field of View) matching module, which is realized in a parallel way. The intrusion detection module first eliminates the offset between current frame and prior frame through FOV matching and then handles intrusion detection by motion detection in the preset surveillance zone. The cooperative tracking module shifts the priority of tracking by imager pose estimation, which is also based on FOV matching, avoiding transferring the local features from one imager to another. Experiments are conducted to demonstrate that the proposed approach is of high accuracy for intrusion detection and cooperative tracking and keeps the frame rate over 20 fps.

Thermal image analytics for industrial anomaly detection

“…This way, depending on whether there is new motion taking place in the frame or not, they determine person intrusion. [109] developed a multiple PTZ thermal camera distributed system for intrusion detection by making use of cooperative tracking. They detected intrusion by comparisons between current frame and the previous frames from the PTZ imagers.…”