计算机工程
計算機工程
계산궤공정
COMPUTER ENGINEERING
2014年
1期
228-231,235
,共5页
运动目标检测与跟踪%混合高斯模型%灰度触发%Mean Shift算法
運動目標檢測與跟蹤%混閤高斯模型%灰度觸髮%Mean Shift算法
운동목표검측여근종%혼합고사모형%회도촉발%Mean Shift산법
movement target detection and tracking%mixture Gaussian model%gray triggering%Mean Shift algorithm
为实现道路交通的车辆自动跟踪，提出一种基于灰度触发的Mean Shift自动跟踪算法。利用改进的高斯混合模型进行前景检测，有效抑制光照突变对于目标检测的影响，保证触发区域的灰度干扰降低到最少。设计基于虚拟区域灰度变化的触发方式，通过捕获虚拟触发区域内的灰度局部峰值，扩展目标搜寻区域进行运动车辆的锁定，进而实现核函数宽度自适应调整的Mean Shift跟踪。实验结果表明，该方法能准确实现自动触发跟踪，触发精度较高，具有较好的实用价值。
為實現道路交通的車輛自動跟蹤，提齣一種基于灰度觸髮的Mean Shift自動跟蹤算法。利用改進的高斯混閤模型進行前景檢測，有效抑製光照突變對于目標檢測的影響，保證觸髮區域的灰度榦擾降低到最少。設計基于虛擬區域灰度變化的觸髮方式，通過捕穫虛擬觸髮區域內的灰度跼部峰值，擴展目標搜尋區域進行運動車輛的鎖定，進而實現覈函數寬度自適應調整的Mean Shift跟蹤。實驗結果錶明，該方法能準確實現自動觸髮跟蹤，觸髮精度較高，具有較好的實用價值。
위실현도로교통적차량자동근종，제출일충기우회도촉발적Mean Shift자동근종산법。이용개진적고사혼합모형진행전경검측，유효억제광조돌변대우목표검측적영향，보증촉발구역적회도간우강저도최소。설계기우허의구역회도변화적촉발방식，통과포획허의촉발구역내적회도국부봉치，확전목표수심구역진행운동차량적쇄정，진이실현핵함수관도자괄응조정적Mean Shift근종。실험결과표명，해방법능준학실현자동촉발근종，촉발정도교고，구유교호적실용개치。
In order to achieve the automatic tracking of vehicles in road traffic, this paper proposes a mean shift tracking algorithm based on gray triggering. It detects the targets using a modified Gaussian mixture model to reduce the influences of the target detection caused by sudden changes of light. Thereby it guarantees the minimum gray interference on triggered areas. This algorithm designs a trigger method based on changes of the gray degree in virtual region. By capturing the local peak gray value in the triggered area, this method expends target search area to lock the moving vehicles and thereby achieves the Mean Shift tracking in which the kernel function adjusts its width automatically. Experimental result shows that this method achieves automatic trigger tracking efficiently and accurately, has high trigger accuracy and good practical value.
