NDLI: Object Tracking and QOS Control Using Infrared Sensor and Video Cameras

Content Provider	IEEE Xplore Digital Library
Author	Can Zhang Jiankang Wu Guofang Tu
Copyright Year	2006
Description	Author affiliation: Sch. of Inf. Sci. & Eng., Chinese Acad. of Sci., Beijing (Can Zhang)
Abstract	Object tracking and the quality of service (QOS) control is one of key issues in sensor networks. In order to track objects and provide information about the location, trajectory and identity for each object, we propose a new object tracking scheme using both infrared sensors and video cameras, where infrared sensors are used to detect and locate moving objects, while video cameras are for tracking, producing trajectories and if possible, providing identity and details. Object searching is done using a three level wavelet representation. It significantly reduces the searching space. Hierarchical wavelet representation also facilitates QoS control in the sensor network environment. Dropped high frequency components can be recovered in the receiver side by using wavelet fractal interpolation. The experimental result shows the effectiveness of our algorithm
Sponsorship	IEEE SYSTEMS, MAN AND CYBERNETICS SOC
Starting Page	974
Ending Page	979
File Size	486068
Page Count	6
File Format	PDF
ISBN	1424400651
DOI	10.1109/ICNSC.2006.1673281
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-04-23
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Infrared sensors Cameras Object detection Infrared detectors Trajectory Frequency Fractals Interpolation Video coding Filters
Content Type	Text
Resource Type	Article

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