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基于多特征组合的目标检测与跟踪算法研究

he Algorithm of Multi Features for Object Detection and Tracking

中文摘要英文摘要

目标检测与跟踪是计算机视觉领域的一个重要研究领域,对于特定类别的目标检测与跟踪算法,霍夫森林模型是一个有效和鲁棒性很好的方法,已经广泛应用于目标检测、视频跟踪以及行为识别等领域,结合多特征组合的特征提取算法,用于特定类目标的检测与跟踪,结合均值漂移跟踪算法,通过加权递归滤波算法,得到目标的检测和跟踪结果。经过算法原理分析与有效性实验证明,新的目标检测跟踪算法,不仅对目标的外观变化以及复杂场景都有很好的鲁棒性,跟踪效果有很大的提升,而且拓展了跟踪算法的在线更新模型。

In this paper we present a method for the detection and tracking of instances of an object class,sush as faces,cars,pedestrians.Object detection and tracking as an important research field of computer vision field, attracts increasingly people to study and experiment.Hough Forest is an effective and robust method,which have benn widely applied in field of object detection,video tracking and behanior recognition,and achieved good results.This method combines with multi image features and improved meanshift method,which make the model more discriminative and specific,and also make the model have better robustness and a more promoted tracking result.

李丽娟、刘晓鸿

计算技术、计算机技术

梯度方向直方图霍夫森林颜色特征均值漂移

HOGHough Forestcolor featuresmeanshift

李丽娟,刘晓鸿.基于多特征组合的目标检测与跟踪算法研究[EB/OL].(2014-11-13)[2025-08-16].http://www.paper.edu.cn/releasepaper/content/201411-189.点此复制

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