A Multiple Feature-Based Image-Switching Strategy in Visual Sensor Networks

Coverage Quality in Visual Sensor Networks

Multiple Target Tracking in Wireless Sensor Networks Based on Sensor Grouping and Hybrid Iterative-Heuristic Optimization

A novel hybrid method for tracking multiple indistinguishable maneuvering targets using a wireless sensor network is introduced in this paper. The problem of tracking the location of targets is formulated as a Maximum Likelihood Estimation. We propose a hybrid optimization method, which consists of an iterative and a heuristic search method, for finding the location of targets simultaneously. T...

Improving Energy-Efficient Target Coverage in Visual Sensor Networks

Target coverage is one of the important problems in visual sensor networks. The coverage should be accompanied with an efficient use of energy in order to increase the network lifetime. In this paper, we address the maximum lifetime for visual sensor networks (MLV) problem by maximizing the network lifetime while covering all the targets. For this purpose, we develop a simulated annealing (SA) ...

Quorum Based Image Retrieval in Large Scale Visual Sensor Networks

A recent publication by [SPKK] introduces a framework and set of rules by which object recognition can work on a visual sensor network. Extracted features of the detected object are flooded (with reduced dimensionality at each hop) in the network. The Sensor will match the corresponding feature of the new object with a locally stored one, and send the query on the backward link toward the origi...

coverage quality in visual sensor networks

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