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In video surveillance, the moving human detection in thermal video is a critical phase that filters out redundant information to extract relevant information. The moving object detection is applied on thermal video because it penetrate challenging problems such as dynamic issues of background and illumination variation. In this work, we have proposed a new background subtraction method using Fisher’s...
Quality of service(QoS) becomes a more challenging task due to bandwidth constraints and dynamic topology of a wireless network. Because of dynamic topology reason nodes in a network moves freely and results in various routing problems. Therefore, to overcome these challenges a protocol with QoS is proposed in this paper named QAODV. In this paper two additional fields are to the message of Ad-hoc...
Moving object detection is an important research area in computer vision. It deals with detecting instances of moving objects of various classes (such as humans, animals, buildings, or vehicles) in digital images and frame sequences for increasing needs of security and surveillance in public or private areas. In this work, proposed improvement enhances the existing model by using some image processing...
In current scenario, the need of surveillance applications, technological improvements, and the numbers of active real-time surveillance systems are increasing continuously throughout the world. In this research work, we have presented a background subtraction based scheme for moving object detection in video frames. The proposed scheme has a strong potential for applications in consumer electronics...
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