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International Journal on Smart Sensing and Intelligent Systems • Vol 9 • No 3
Probability Sensing Model Based Enhancement of Coverage for Video Sensor Networks
2016
Abstract With the foundation of the video probabilistic sensing model that sensing direction is steerable, the study on path coverage enhancement algorithm for video sensor networks has been improved, analysis the position of effective center of mass in the s…
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Computer Vision

Computerized information extraction from images

Computer vision tasks include methods for acquiring, processing, analyzing, and understanding digital images, and extraction of high- dimensional data from the real world in order to produce numerical or symbolic information, e.g. in the form of decisions. "Understanding" in this context signifies the transformation of visual images (the input to the retina) into descriptions of the world that make sense to thought processes and can elicit appropriate action. This image understanding can be seen as the disentangling of symbolic information from image data using models constructed with the aid of geometry, physics, statistics, and learning theory.

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International Journal on Smart Sensing and Intelligent Systems • Vol 9 • No 3
Probability Sensing Model Based Enhancement of Coverage for Video Sensor Networks
2016
Abstract With the foundation of the video probabilistic sensing model that sensing direction is steerable, the study on path coverage enhancement algorithm for video sensor networks has been improved, analysis the position of effective center of mass in the sensor’s model, the network calculates the gravitation between the target track points and the trace nodes, and the repulsive force between both trace nodes of the target track points, then the trace node adjusts its sense direction, make the probability of the…
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