Fast Lighting Independent Background Subtraction
International Journal of Computer Vision - Special issue on a special section on visual surveillance
Wireless sensor networks for habitat monitoring
WSNA '02 Proceedings of the 1st ACM international workshop on Wireless sensor networks and applications
Shape Matching and Object Recognition Using Shape Contexts
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Hierarchical Approach to Robust Background Subtraction using Color and Gradient Information
MOTION '02 Proceedings of the Workshop on Motion and Video Computing
An Energy-Aware QoS Routing Protocol for Wireless Sensor Networks
ICDCSW '03 Proceedings of the 23rd International Conference on Distributed Computing Systems
Low-complexity and energy efficient image compression scheme for wireless sensor networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
Wireless image sensor networks: event acquisition in attack-prone and uncertain environments
Multidimensional Systems and Signal Processing
A spatial correlation model for visual information in wireless multimedia sensor networks
IEEE Transactions on Multimedia - Special issue on quality-driven cross-layer design for multimedia communications
Challenging issues in visual sensor networks
IEEE Wireless Communications
Power-rate-distortion model for low-complexity video coding
PCS'09 Proceedings of the 27th conference on Picture Coding Symposium
Image Compression Using Stitching with Harris Corner Detector and SPIHT Coding
IVIC '09 Proceedings of the 1st International Visual Informatics Conference on Visual Informatics: Bridging Research and Practice
Joint effect of multiple correlated cameras in wireless multimedia sensor networks
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
Optimized energy allocation in battery powered image sensor networks
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Collaborative data compression using clustered source coding for wireless multimedia sensor networks
INFOCOM'10 Proceedings of the 29th conference on Information communications
Robust Image Transmission Over Wireless Sensor Networks
Mobile Networks and Applications
Low memory image stitching and compression for WMSN using strip-based processing
International Journal of Sensor Networks
Low-complexity video coding via power-rate-distortion optimization
Journal of Visual Communication and Image Representation
Optimized overlapping based energy-aware node collaboration in visual sensor networks
Proceedings of the 1st International Conference on Wireless Technologies for Humanitarian Relief
A survey of visual sensor network platforms
Multimedia Tools and Applications
Collaborative image compression with error bounds in wireless sensor networks for crop monitoring
Computers and Electronics in Agriculture
Equal energy dissipation in wireless image sensor network: A solution to energy-hole problem
Computers and Electrical Engineering
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The imaging sensors are able to provide intuitive visual information for quick recognition and decision. However, imaging sensors usually generate vast amount of data. Therefore, processing and coding of image data collected in a sensor network for the purpose of energy efficient transmission poses a significant technical challenge. In particular, multiple sensors may be collecting similar visual information simultaneously. We propose in this paper a novel collaborative image coding and transmission scheme to minimize the energy for data transmission. First, we apply a shape matching method to coarsely register images to find out maximal overlap to exploit the spatial correlation between images acquired from neighboring sensors. For a given image sequence, we transmit background image only once. A lightweight and efficient background subtraction method is employed to detect targets. Only the regions of target and their spatial locations are transmitted to the monitoring center. The whole image can then be reconstructed by fusing the background and the target images as well as their spatial locations. Experimental results show that the energy for image transmission can indeed be greatly reduced with collaborative image coding and transmission.