A Survey on Object Detection Methods in Visual Sensor Networks

A Survey on Object Detection Methods in Visual Sensor Networks

Object detection is one of the major challenges in visual sensor networks (VSNs) which is set up in the monitoring applications. Many approaches proposed to solve the object detection problem in VSNs, considering diverse metrics such as reliability, energy consumption, detection accuracy and being realtime. In this paper, a survey on the object detection methods in visual sensor networks is pre...

Coverage Quality in Visual Sensor Networks

A Survey on Moving Object Detection Methods in Video Surveillance

Moving Object detection is one of the key step for activity analysis in video surveillance. It provides a classification of the pixels into either foreground or background. Various methods have been proposed by researchers for segmenting out foreground objects in a video sequence, each having their own merits and demerits. A good method should be robust to illumination changes, nonstatic backgr...

A Survey on Visual Object Tracking: Datasets, Methods and Metrics

---------------------------------------------------------------------***--------------------------------------------------------------------Abstract: Object detection and tracking is an important and challenging task in many critical computer vision applications such as automated video surveillance, traffic monitoring, autonomous robot navigation, and smart environments. Object tracking can be ...

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) ...