The design of the tracking system base on visual and wireless location appliance

It is difficult to address the problem of occlusion and loss of target when a single image tracking algorithm is utilized in high reliability occasions, such as prison, coal mines and military area. This paper presents a novel tracking and monitoring system based on wireless location and video. A coordinate frame of wireless system of scene constructed by binding the targets with RSSI labels is used to extract the real-time location information of targets. A high-speed ball camera is used to set up the coordinate frame based on vision system. Double shaft angle encoder added on the high-speed ball camera and control system devised based on ARM are adopted to obtain real-time coordinates of field of visual system. Thus, it solves the problems of the high-speed ball camera without real-time angle feedback, and improves the reliability of the system. It makes the position of camera as the origin of coordinates, and fuses the two coordinates to find out the relationship with Pan & Tilt and the label position. Firstly, the system detects and captures targets by the help of label. Secondly, using the image processing algorithm tracks the targets on a larger scale. Finally, it uses the label information as a feedback to correct position when the targets lost or be covered. Results show that, the new system is robust in the large-scale scene and complicated background.

[1]  Yizong Cheng,et al.  Mean Shift, Mode Seeking, and Clustering , 1995, IEEE Trans. Pattern Anal. Mach. Intell..

[2]  William T. Freeman,et al.  Television control by hand gestures , 1994 .

[3]  Lu Han The Methods for Moving Object Detection , 2006 .

[4]  Larry D. Hostetler,et al.  The estimation of the gradient of a density function, with applications in pattern recognition , 1975, IEEE Trans. Inf. Theory.

[5]  Larry S. Davis,et al.  W4: Real-Time Surveillance of People and Their Activities , 2000, IEEE Trans. Pattern Anal. Mach. Intell..

[6]  Parham Aarabi,et al.  Enhanced sound localization , 2004, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

[7]  Michael S. Brandstein,et al.  Real-Time Automated Video and Audio Capture with Multiple Cameras and Microphones , 2001, J. VLSI Signal Process..

[8]  Mohan M. Trivedi,et al.  Audiovisual Information Fusion in Human–Computer Interfaces and Intelligent Environments: A Survey , 2010, Proceedings of the IEEE.

[9]  Dorin Comaniciu,et al.  Real-time tracking of non-rigid objects using mean shift , 2000, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662).

[10]  Hironobu Fujiyoshi,et al.  A System for Video Surveillance and Monitoring CMU VSAM Final Report , 1999 .