Open icefengzhe opened 5 years ago
We make a simple assumption that a person appears in a camera only once. But do not be confused by this point, you can use a clustering algorithm to judge how many times a person appears in a camera. I think it can further improve performance in complex scenarios.
got it, thank you :-)
besides, can we use PCB to initialize st_model? then we can use 'joint metric''result to refeed st_model to improve performance. thus, maybe there is no need to mark my data for st_model.
The proposed method includes two streams, you can replace these streams with your method, and use evaluate_st.py for the joint metric.
the avged frame is the time of somebody in center point? but when the person go through one camera twice or more times, the avged frame will be wrong, i am confused. besides, my english is poor, excuse me.