简体   繁体   English

在Haar级联opencv之后跟踪对象

[英]Track objects after Haar cascade opencv

I am tracking vehicle in a video. 我正在视频中跟踪车辆。 I am using Haar Cascade for vehicle detection. 我正在使用Haar Cascade进行车辆检测。 I have successfully detected vehicle and still working on it. 我已经成功检测到车辆,并且仍在研究中。 I have two outputs, one with rectangles on original frame and one with filled rectangle drawn on a binary frame of same size. 我有两个输出,一个在原始帧上带有矩形,另一个在相同大小的二进制帧上带有填充矩形的输出。

Please give me idea how to track every vehicle after detection? 请让我知道检测后如何跟踪每辆车? Should I use Kalman filter or any other? 我应该使用卡尔曼滤波器还是其他滤波器?

  1. You can link detections in trajectories by its positions and sizes. 您可以通过轨迹的位置和大小来链接轨迹中的检测。
  2. Use some correlation method (images of vehicles are not changed strongly from frame to frame). 使用某种相关方法(不同帧之间的车辆图像变化不大)。
  3. Track with using SIFT or SURF . 使用SIFTSURF进行跟踪。
  4. Recognize licence plates on the vehicles and track it. 识别车辆上的车牌并进行跟踪。

声明:本站的技术帖子网页,遵循CC BY-SA 4.0协议,如果您需要转载,请注明本站网址或者原文地址。任何问题请咨询:yoyou2525@163.com.

 
粤ICP备18138465号  © 2020-2024 STACKOOM.COM