MeshEye

Stephan Hengstler, Daniel Prashanth, Sufen Fong, Hamid Aghajan
2007 Proceedings of the 6th international conference on Information processing in sensor networks - IPSN '07  
Surveillance is one of the promising applications to which smart camera motes forming a vision-enabled network can add increasing levels of intelligence. We see a high degree of in-node processing in combination with distributed reasoning algorithms as the key enablers for such intelligent surveillance systems. To put these systems into practice still requires a considerable amount of research ranging from mote architectures, pixelprocessing algorithms, up to distributed reasoning engines. This
more » ... paper introduces MeshEye, an energy-efficient smart camera mote architecture that has been designed with intelligent surveillance as the target application in mind. Special attention is given to MeshEye's unique vision system: a low-resolution stereo vision system continuously determines position, range, and size of moving objects entering its field of view. This information triggers a color camera module to acquire a high-resolution image sub-array containing the object, which can be efficiently processed in subsequent stages. It offers reduced complexity, response time, and power consumption over conventional solutions. Basic vision algorithms for object detection, acquisition, and tracking are described and illustrated on realworld data. The paper also presents a basic power model that estimates lifetime of our smart camera mote in battery-powered operation for intelligent surveillance event processing.
doi:10.1145/1236360.1236406 dblp:conf/ipsn/HengstlerPFA07 fatcat:ercfw5wohzc3voofrs6ec4jdqq