Distributed online localization in sensor networks using a moving target
Proceedings of the 3rd international symposium on Information processing in sensor networks
Localization for mobile sensor networks
Proceedings of the 10th annual international conference on Mobile computing and networking
Camera Calibration from Video of a Walking Human
IEEE Transactions on Pattern Analysis and Machine Intelligence
Development and calibration of a low cost wireless camera sensor network
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
Coding of Image Feature Descriptors for Distributed Rate-efficient Visual Correspondences
International Journal of Computer Vision
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A collaborative vision-based technique is proposed for localizing the nodes of a surveillance network based on observations of a non-cooperative moving target. The proposed method employs lightweight in-node image processing and limited data exchange between the nodes to determine the positions and orientations of the nodes participating in synchronized observations of the target. A node with an opportunistic observation of a passing target broadcasts a synchronizing packet and triggers image capture by its neighbors. In the cluster of participating nodes, the triggering node and a helper node define a relative coordinate system. Once a small number of joint observations of the target are made by the nodes, the model allows for a decentralized or a cluster-based solution for the localization problem.No images are transferred between the network nodes for the localization task, making the proposed method efficient and scalable. Simulation and experimental results are provided to verify the performance of the proposed technique.