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The Research and Simulation of Motion Perception Model Based on Biovision

Author: LiuChangQin
Tutor: WangZhengZhi
School: National University of Defense Science and Technology
Course: Control Science and Engineering
Keywords: Motion Biovision Feature Tracking Signal Motion Integration Motion Segmentation Motion Capture Aperture Problem
CLC: TP391.4
Type: Master's thesis
Year: 2005
Downloads: 200
Quote: 1
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Abstract


The processing mechanism of motion biovision is much complex. Based on the recent finding on biovision, this paper made a detailed research on the motion biovision model.How biovision system to percept motion and motion form is the topic in this paper. The visual cortex related to motion perception as we know so far involves area V1,V2,V3,MT and MST. Especially the path of V1-V2 is for static figure processing and the path of MT-MST is for motion processing.Based on the model of Formotion BCS proposed by Grossberg, the paper synthesized the FAζADE model and the MBCS model. And it was analyzed in detail and developed in this paper.1. The paper studies how each level of the Formotion BCS works. In the short-range filter, feature tracking signal is extracted. And then it propagates across space under the effect of directional grouping and attentional priming in the MT-MST loop. So the object motion is captured Finally. Just based on the propagating mechanism, local aperture problem was overcome, and the system completes motion integration and motion segmentation.2. Interscale competition and attentional enhancement were introduced at the competition level between model MST cells. So the model explains why the motion causes disparity in space at the condition of motion transparency and chopsticks illusion.Computer simulation is very important. In this paper, some classic motion phenomena are simulated on the computer according to the model. And it is explained why these visual results occurr on view of model processing mechanisms. It also make us understood how our visual system works someway.

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices
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