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frank804/Multiple-Objects-Tracking-Algorithm-Based-on-Dense-Trajectories-Voting-in-Aerial-Video

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Environment

The code is compatible with vs2015 Enterprise. The following dependencies are needed to run the tracker: 
opencv3.4.1(GPU version) 
CUDA 9.1
CUDNN  
Intel i5-8400 CPU
8 GB RAM
Nvidia GeForce GTX1080Ti GPU

Test Data

The test video can be downloaded on BaiDu Cloud Disk here, and the detection result of the video is stored in detect_result.txt of the folder video. The test video has a resolution of 1920*1080.In the txt file, each row stores all the detection bounding box information of each frame, and the storage format is:    
#frame number x y w h x y w h ...
#Where (x, y) is the coordinates of the upper left corner of the detection bounding box, w and h are the width and height of the detection bounding box.

Note

The uploaded code defaults to the CPU version of the proposed tracking system. To use GPU acceleration, uncomment the USE_GPU macro in Dense-Trajectories-Generation.h.

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