Wireless camera networks provide a unique opportunity for collaborative surveillance. Performance evaluation and optimization of camera networks, however, has seldom been addressed. This chapter fills this gap by detailing an approach by which individual cameras and a whole network of cameras can be simultaneously optimized in terms of Pareto efficiency using multi-objective optimization of per...

Distributed Image Compression in Camera Networks

Barrier coverage is an important issue in wireless sensor networks, which guarantees to detect any intruder attempting to cross a barrier or penetrating a protected region monitored by sensors. However, the barrier coverage problem in wireless camera sensor networks (WCSNs) is different from that in scalar sensor networks. In this paper, based on (k, ω)-angle coverage, we study the minimum (k, ...

In this note we discuss a novel graph partitioning problem, namely continuous graph partitioning, and we discuss its application to the design of surveillance trajectories for camera networks. In continuous graph partitioning, each edge is partitioned in a continuous fashion between its endpoint vertices, and the objective is to minimize the largest load among the vertices. We show that the con...

Linear array CCD-based panoramic cameras are being used also in measurement applications. The elegant image acquisition mode and the high information content of those images make them suitable candidates for quantitative image analysis. The best possible accuracy is acquired by a suitable sensor model and following the concept of network design. In our previous investigations we designed a sens...

Distributed camera networks play an important role in public security surveillance. Analyzing video sequences from cameras set at different angles will provided enhanced performance for detecting abnormal events. In this paper, an algorithm is proposed to detect the abnormal event under distributed camera networks via multi-kernel learning. The visual event is presented by the histogram of the ...