计算机科学
計算機科學
계산궤과학
COMPUTER SCIENCE
2010年
2期
207-208,224
,共3页
特征选择%生物视觉显著性%最小错误概率%车型识别%特征融合
特徵選擇%生物視覺顯著性%最小錯誤概率%車型識彆%特徵融閤
특정선택%생물시각현저성%최소착오개솔%차형식별%특정융합
Feature selection%Biological vision salience%Minimum probability of error%Vehicle type recognition%Feature fusion
车型的识别问题是典型的目标识别问题,根据生物视觉与模式识别理论,对车辆车型的检测与识别进行了研究,提出了基于最小错误概率的特征显著性车型识别算法.该算法对车型的多个特征进行显著性比较,对较显著的特征赋予较大的权值,然后对多特征的识别结果进行融合处理.实验结果表明该算法对车型的识别具有较高的识别率.
車型的識彆問題是典型的目標識彆問題,根據生物視覺與模式識彆理論,對車輛車型的檢測與識彆進行瞭研究,提齣瞭基于最小錯誤概率的特徵顯著性車型識彆算法.該算法對車型的多箇特徵進行顯著性比較,對較顯著的特徵賦予較大的權值,然後對多特徵的識彆結果進行融閤處理.實驗結果錶明該算法對車型的識彆具有較高的識彆率.
차형적식별문제시전형적목표식별문제,근거생물시각여모식식별이론,대차량차형적검측여식별진행료연구,제출료기우최소착오개솔적특정현저성차형식별산법.해산법대차형적다개특정진행현저성비교,대교현저적특정부여교대적권치,연후대다특정적식별결과진행융합처리.실험결과표명해산법대차형적식별구유교고적식별솔.
Vehicle type recognition is typical target recognition.According to biological vision and pattern recognition theory,the detection and recognition of vehicle type were researched.so a novel method based on feature salience was presented to recognize vehicle type.Firstly,this algorithm extracts the multi-features of vehicle type and compares their salience.Then,the more salient feature was put larger power.Finally,the salient features were fused to recognize the vehicle type.The experimental results show that the algorithm has better identify rate.