PERCOMW '05 Proceedings of the Third IEEE International Conference on Pervasive Computing and Communications Workshops
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
A revaluation of frame difference in fast and robust motion detection
Proceedings of the 4th ACM international workshop on Video surveillance and sensor networks
A storage-centric camera sensor network
Proceedings of the 4th international conference on Embedded networked sensor systems
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Research in video surveillance is nowadays mainly directed towards improving reliability and gaining deeper levels of scene understanding. On the contrary, we take a different route and investigate a novel, unusual approach to a very simple surveillance task --- activity detection --- in scenarios where computational and energy resources are extremely limited, such as Camera Sensor Networks. Our proposal is based on shooting long-exposure frames, each covering a long period of time, thus enabling the use of frame rates even one order of magnitude slower than usual --- which reduces computational costs by a comparable factor; however, as exposure time is increased, moving objects appear more and more transparent, and eventually become invisible in longer exposures. We investigate the consequent tradeoff, related algorithms and their experimental results with actual long-exposure images. Finally we discuss advantages (such as its intrinsic ability to deal with low-light conditions) and disadvantages of this approach.