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There are many behavioral-recognition camera for people or pets and such as street surveillance camera became to use camera at many place. However, the amount of information is increasing, and in the manual analysis of all things and cause cost and oversight, to collect data for learning to act like a machine can recognize, it is difficult to collect large, the necessity of analyzing a camera automatically...
Image motion blur and defocus blur often occur when there is a relative motion between the imaging camera and the detected object. These two blurs will degrade the image quality and will also decrease the subsequent pattern recognition accuracy. In this paper, we propose a robust weed recognition scheme using the low quality color weed images with the above-mentioned image blurs. The proposed scheme...
This paper proposes one kind of multiple moving pedestrians' detection and recognition method in the driver assistance system which is based on the computer vision. Firstly, it uses the improved Consecutive Frames Subtraction to establish a background model for sequence images, and unifies Background Subtraction to carry on an effective detection for multiple moving objects, thus obtains the clearer...
This work is dedicated to a statistical trajectory-based approach addressing two issues related to dynamic video content understanding: recognition of events and detection of unexpected events. Appropriate local differential features combining curvature and motion magnitude are defined and robustly computed on the motion trajectories in the image sequence. These features are invariant to image translation,...
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