Tracking System
跟踪算法使用:
(1)每帧检测,一般不需要跟踪算法。 Detect with no track (No track. Need to smooth probably)
如果检测算法很快,则不需要进行跟踪,反之,嘿嘿
id 平滑
bbox 平滑,比如边框大小
(2)隔帧检测,需要跟踪。 Need to track
检测(当前帧进行检测) – A
detection <==> observation
We have detection this frame
Detect 测量值Update with detection
1)No instances (initial frames) —> Add detected into instances2)We have instances:
a. Prediction (Kalman Filter)
b. Match (prediction - Detection) —> Munkres Algorithm / Bipartite Algorithm or Double Match
怎样预知匹配对应情况?3)Update newly matched instance
4)Deal with failed matched instance
4.1)Failed to detect
a. Still track for a while
b. Remove
4.2)Newly detected
a. Add instantly
b. Add after a while (代码实现)跟踪(此帧不检测) – B
纯跟踪 prediction
We have no detection this frame: Update without detection
请多多指教。
文章标题:Tracking System
本文作者:顺强
发布时间:2020-04-15, 23:59:00
原始链接:http://shunqiang.ml/cnn-tracking-system/版权声明: "署名-非商用-相同方式共享 4.0" 转载请保留原文链接及作者。