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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 paper presents a novel method for location recognition, which exploits an epitomic representation to achieve both high efficiency and good generalization. A generative model based on epitomic image analysis captures the appearance and geometric structure of an environment while allowing for variations due to motion, occlusions, and non-Lambertian effects. The ability to model translation and...
Linear motion and out-of-focus blur often coexist in a surveillance system, which degrade the quality of acquired images and thus complicate the task of object recognition and event detection. In this work, we present a point spread function-based (PSF-based) approach considering fundamental characteristics of linear motion and out-of-focus blur based on geometric optics to restore coexisting motion...
In this paper, a new control scheme on image-based visual servoing is described. The proposed approach consists of two level strategies, one is in the motion planning and the other in the task planning. The method in the motion planning is based on the eigenvector derived from the product of the extended Jacobian. When the camera moves in the direction along the vector, the largest shift of feature...
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