prediction-based object tracking and coverage in visual sensor networks
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Prediction-based Object Tracking and Coverage in Visual Sensor Networks
Tzung-Shi Chen Jiun-Jie Peng,De-Wei Lee Hua-Wen Tsai
Dept. of Com. Sci. and Info. Dept. of Info. and Learning Dept. of Computer Info. and
Engineering Technology Network Eng.
National University of Tainan National University of Tainan Lunghwa University of Science
Tainan 700, Taiwan Tainan 700, Taiwan and Technology, Taiwan
IEEE Proceedings of The 7th International Wireless Communicationsand Mobile Computing Conference (IWCMC 2011)
Outline Introduction
Goals
Network Model and Assumptions
Prediction-based algorithm for the tracking and coverage of objects(POTC)
Experimental results
Conclusion
Introduction Visual sensor networks(VSNs) are a type of wireless sensor network.
All sensor are equipped with cameras
Difference between visual and scalar sensor
• Visual sensor can capture the image of object
Scalar sensor Visual sensor
0/1
Introduction When tracking a mobile object, visual sensors cannot remain in an
active mode until the object is out of the sensing range
To track objects, a set of visual sensors must be active before the mobile object approaches them
Goals We have developed an algorithm to monitor the mobile object
• Minimum number of visual sensors• Maximum coverage of mobile object
Network Model and Assumptions
Sensor Node
Each sensor
• Deploying randomly• Communication range = Sensing range • Location-aware• Location of object• Equipped the camera• Camera can rotate 360°• Active and sleep
The object is mobile and moving with a random waypoint
Build up a planar graph by Gabriel Graph for the visual sensor network
Mobile object
Prediction-based algorithm for the tracking and coverage of objects(POTC) Awakening the Monitoring Area using Face Routing
Covered Range
Prediction-based algorithm for the tracking and coverage of objects(POTC) Awakening the Monitoring Area using Face Routing
Covered Range
Prediction-based algorithm for the tracking and coverage of objects(POTC)
Sensor node
Mobile object
Nearest node
Cross node
Cross edge
Moving edge
Prediction-based algorithm for the tracking and coverage of objects(POTC)
Sensor node
Mobile object
Nearest node
Cross node
Cross edge
Moving edge
Routing edge
Wake node
F1 F2
F3
F4
F5 F6
Prediction-based algorithm for the tracking and coverage of objects(POTC)
Sensor node
Mobile object
Cross edge
Moving edge
Routing edge
Boundary node
Wake node
F1 F2
F3
F4
F5 F6
F7 F8
F9F10
F11
F13
F12 F14 F15
F16
F17
Prediction-based algorithm for the tracking and coverage of objects(POTC) Awakening the Monitoring Area using Face Routing
Covered Range
Covered Range
• Single Characteristic Point• Multiple Characteristic Point
Covered Segment Both Covered Segment
Prediction-based algorithm for the tracking and coverage of objects(POTC)
Covered Range
• Single Characteristic Point• Multiple Characteristic Point
Prediction-based algorithm for the tracking and coverage of objects(POTC)
Experimental results
Experimental results
Experimental results
Experimental results
Conclusion we developed the algorithm, prediction-based object tracking and
coverage algorithm (POTC) to monitor the mobile object
• Minimum number of visual sensors• Maximum coverage of mobile object
Thank you
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