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The challenges associated with wireless vision sensor networks are low energy consumption, less bandwidth and limited processing capabilities. In order to meet these challenges different approaches are proposed. Research in wireless vision sensor networks has been focused on two different assumptions, first is sending all data to the central base station without local processing, second approach is...
Focus on the image compressing problem of unmanned aerial vehicle with high compression ratio, fixed compressing ratio and low computational complexity requirement, a low-complexity image-sequence compressing algorithm based on homography transformation was proposed. The image sequences were dynamically divided into frame-groups according the data from airborne inertial navigation systems, and the...
In recent years digital cameras have seen a revolution in digital image collection and thousands of quality images can be collected quickly and easily. The connoisseur image annotation is an effective approach for making image organization and browsing simple and quick, even for very large collections. The design and implementation of text base query system is particular concern with the management...
Video is an important medium for the observation of a variety of phenomena in the physical world such as for water conservancy engineering. Video sensor networks (VSN) consists of a large number of sensor nodes with cheap CMOS cameras, therefore, it has the ability of large scale visual monitoring. However, a kind of powerful and scalable platform is urgent for simulation and development of VSN. This...
This paper describes a distance measurement system based on image sensors for automatic berthing of ships. An automatic berthing system is a solution to relieve psychological and physical strains on the operator in berthing maneuvering that is the most difficult and delicate phase. Usually, a sensor system for the automatic berthing system should accommodate ship movements such as rolling, pitching,...
This paper introduces a non-temporal multiple silhouettes in Hidden Markov Model (HMM) for offering view independent human posture recognition. The multiple silhouettes are used to reduce the ambiguity problem of posture recognition. A simple feature extraction of the 2D shape contour based histogram is used for image encoding and K-Means algorithm is applied for clustering and code-wording of eight...
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