基于连续模板的主动机器视觉注意力选择算法

吉林大学学报(工学版) ›› 2003, Vol. ›› Issue (4): 95-99.

基于连续模板的主动机器视觉注意力选择算法

姜铁君, 田彦涛, 李金辉

吉林大学, 通信工程学院, 吉林, 长春, 130025

收稿日期:2003-01-22
基金资助:
吉林省科技发展计划资助项目(20010320).

Attention selection algorithm of active machine vision based on sequential templet

JIANG Tie-jun, TIAN Yan-tao, LI Jin-hui

College of Communication Engineering, Jilin University, Changchun 130025, China

Received:2003-01-22

摘要/Abstract

摘要： 提出了一种主动机器视觉系统的注意力选择算法。运用金字塔表示法解决了计算量问题,同时采用连续模板和突图融合上层信息,整合数据驱动和模型驱动两种驱动模式。并在实验平台上做了大量的跟踪实验,包括对人和物体在复杂场景下的基于本注意力选择算法的单目及双目跟踪。实验结果证明了算法的有效性和鲁棒性。

关键词: 主动机器视觉, 注意力选择, 金字塔表示法, 连续模板, 突图

Abstract: An algorithm for attention selection of active machine vision system was proposed.This algorithm employs the pyramidal representation to resolve the problem of calculation amount,it also employs the sequential templet and saliency map to combine the upper layer information, and integrates both the data driven and model driven mechanisms.We had done a lot of tracing experiments based on our attention algorithm which include monocular and binocular tracing for human being and physical objects under complex scene on the experiment platform.The experiment results prove the effectiveness and robust of this algorithm.

Key words: active machine vision, attention selection, pyramidal representation, sequential templet, saliency map

中图分类号:

TP391

姜铁君, 田彦涛, 李金辉. 基于连续模板的主动机器视觉注意力选择算法[J]. 吉林大学学报(工学版), 2003, (4): 95-99.

JIANG Tie-jun, TIAN Yan-tao, LI Jin-hui. Attention selection algorithm of active machine vision based on sequential templet[J]. 吉林大学学报(工学版), 2003, (4): 95-99.

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