Cyclops: in situ image sensing and interpretation in wireless sensor networks
Proceedings of the 3rd international conference on Embedded networked sensor systems
SensEye: a multi-tier camera sensor network
Proceedings of the 13th annual ACM international conference on Multimedia
Proceedings of the 6th international conference on Information processing in sensor networks
Line cameras for monitoring and surveillance sensor networks
Proceedings of the 15th international conference on Multimedia
ERIKA and open-ZB: an implementation for real-time wireless networking
Proceedings of the 2009 ACM symposium on Applied Computing
Traffic related observations by line sensing techniques
Proceedings of the 8th ACM Conference on Embedded Networked Sensor Systems
Cooperative STBC with fuzzy election applied to surveillance wireless video sensor networks
International Journal of Communication Networks and Distributed Systems
Cooperative Space-Time Block Codes for Wireless Video Sensor Networks
Wireless Personal Communications: An International Journal
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Wireless sensor networks (WSNs) play a crucial role in visual surveillance for automatic object detection, such as real-time traffic monitoring, vehicle parking control, intrusion detection,and so on. These online surveillance applications require efficient computation and distribution of complex image data over the wireless camera network with high reliability and detection rate in real time. Traditionally, such applications make use of camera modules capturing a flow of two dimensional images through time. The resulting huge amount of image data impose severe requirements on the resource constrained WSN nodes which need to store, process and deliver the image data or results within a certain deadline. In this paper we present a WSN framework based on line sensor architecture capable of capturing a continuous stream of temporal one dimensional image (line image). The associated one dimensional image processing algorithms are able to achieve significantly faster processing results with much less storage and bandwidth requirement while conserving the node energy. Moreover, the different operating modes offered by the proposed WSN framework provide the end user with different tradeoff in terms of node computation versus communication bandwidth efficiency. Our framework is illustrated through a testbed using IEEE 802.15.4 communication stack and a real-time operating system along with one dimensional image processing. The proposed line sensor based WSN architecture can also be a desirable solution to broader multimedia based WSN systems.