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Collaborative Solutions To Visual Sensor Networks, Mahmut Karakaya
Collaborative Solutions To Visual Sensor Networks, Mahmut Karakaya
Doctoral Dissertations
Visual sensor networks (VSNs) merge computer vision, image processing and wireless sensor network disciplines to solve problems in multi-camera applications in large surveillance areas. Although potentially powerful, VSNs also present unique challenges that could hinder their practical deployment because of the unique camera features including the extremely higher data rate, the directional sensing characteristics, and the existence of visual occlusions.
In this dissertation, we first present a collaborative approach for target localization in VSNs. Traditionally; the problem is solved by localizing targets at the intersections of the back-projected 2D cones of each target. However, the existence of visual occlusions among …
Feature-Based Image Comparison And Its Application In Wireless Visual Sensor Networks, Yang Bai
Feature-Based Image Comparison And Its Application In Wireless Visual Sensor Networks, Yang Bai
Doctoral Dissertations
This dissertation studies the feature-based image comparison method and its application in Wireless Visual Sensor Networks.
Wireless Visual Sensor Networks (WVSNs), formed by a large number of low-cost, small-size visual sensor nodes, represent a new trend in surveillance and monitoring practices. Although each single sensor has very limited capability in sensing, processing and transmission, by working together they can achieve various high level tasks. Sensor collaboration is essential to WVSNs and normally performed among sensors having similar measurements, which are called neighbor sensors. The directional sensing characteristics of imagers and the presence of visual occlusion present unique challenges to neighborhood …