人员检测和跟踪 [英] People Detection and Tracking
问题描述
我想进行行人检测和追踪。
I want to do pedestrian detection and tracking.
输入：来自CCTV摄影机的视频流。
Input: Video Stream from CCTV camera.
输出：
- / li>
- ＃从右向左转换
- ＃中间的人数
我做了什么：
对于行人检测我使用HOG和SVM。检测率较高，假阳性率高。
What have i done so far: For pedestrian detection I am using HOG and SVM. The detection is decent with high false positive rate. And its very slow as i am running in android platform.
问题：
检测后如何计算所需的值以上所列。 谁可以告诉我什么是我必须使用的跟踪算法，以及任何用于行人检测的好算法。
还是应该使用跟踪算法？有没有办法没有它？
Or should I use tracking algorithm? Is there a way to do without it?
对代码/博客/技术论文的任何参考都感谢。
Any references to codes/blogs/technical papers is appreciated.
平台：C ++& OpenCV / android。
Platform: C++ & OpenCV / android.
- 感谢
推荐答案
接近研究问题。
您可能想查看这个网站，收集了大量的参考资料。
特别是，由牛津大学的团队完成的工作存在于其中是非常接近你在做什么，因为他们使用HOG检测。 （这项工作对我来说非常有用）。
EPFL和Julich也在现场做了工作。
You may want to have a look to this website which gathers a lot of references. In particular, the work done by the group from Oxford present therein is pretty close to what you are doing, since their are using HOG for detection. (That work has been extremely illuminating for me). EPFL and Julich have as well work done in the field.
您还可以看看此评论描述了几种检测/跟踪技术，通常涉及HOG算法的变体。
You may also want to give a look to this review which describes several detection/tracking techniques, often involving variants of the HOG algorithm.
这篇关于人员检测和跟踪的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持IT屋！
