Hungarian algorithm + Kalman filter multitarget tracker implementation.
- MobileNet SSD and tracking for low resolution and low quality videos from car DVR:
- Mouse tracking:
- Motion Detection and tracking:
- Multiple Faces tracking:
- Simple Abandoned detector:
- Background substraction: built-in Vibe, SuBSENSE and LOBSTER; MOG2 from opencv; MOG, GMG and CNT from opencv_contrib
- Foreground segmentation: contours
- Matching: Hungrian algorithm or algorithm based on weighted bipartite graphs
- Tracking: Linear or Unscented Kalman filter for objects center or for object coordinates and size
- Use or not local tracker (LK optical flow) for smooth trajectories
- KCF, MIL, MedianFlow, GOTURN or MOSSE tracking for lost objects and collision resolving
- Haar face detector from OpenCV
- HOG and C4 pedestrian detectors
- SSD detector from OpenCV and models from chuanqi305/MobileNet-SSD
- YOLO and Tiny YOLO detectors from https://pjreddie.com/darknet/yolo/
- Simple Abandoned detector
- Download project sources
- Install CMake
- Install OpenCV (https://github.com/opencv/opencv) and OpenCV contrib (https://github.com/opencv/opencv_contrib) repositories
- Configure project CmakeLists.txt, set OpenCV_DIR. If opencv_contrib don't installed then set disable options USE_OCV_BGFG, USE_OCV_KCF and USE_OCV_UKF
- Go to the build directory and run make
Usage:
Usage:
./MultitargetTracker <path to movie file> [--example]=<number of example 0..3> [--start_frame]=<start a video from this position> [--end_frame]=<play a video to this position> [--end_delay]=<delay in milliseconds after video ending> [--out]=<name of result video file> [--show_logs]=<show logs> [--gpu]=<use OpenCL>
./MultitargetTracker ../data/atrium.avi -e=1 -o=../data/atrium_motion.avi
Press:
* 'm' key for change mode: play|pause. When video is paused you can press any key for get next frame.
* Press Esc to exit from video
Params:
1. Movie file, for example ../data/atrium.avi
2. [Optional] Number of example: 0 - MouseTracking, 1 - MotionDetector, 2 - FaceDetector, 3 - PedestrianDetector, 4 - MobileNet SSD detector, 5 - YOLO detector
-e=0 or --example=1
3. [Optional] Frame number to start a video from this position
-sf=0 or --start_frame==1500
4. [Optional] Play a video to this position (if 0 then played to the end of file)
-ef=0 or --end_frame==200
5. [Optional] Delay in milliseconds after video ending
-ed=0 or --end_delay=1000
6. [Optional] Name of result video file
-o=out.avi or --out=result.mp4
7. [Optional] Show Trackers logs in terminal
-sl=1 or --show_logs=0
8. [Optional] Use built-in OpenCL
-g=1 or --gpu=0
- OpenCV (and contrib): https://github.com/opencv/opencv and https://github.com/opencv/opencv_contrib
- Vibe: https://github.com/BelBES/VIBE
- SuBSENSE and LOBSTER: https://github.com/ethereon/subsense
- GTL: https://github.com/rdmpage/graph-template-library
- MWBM: https://github.com/rdmpage/maximum-weighted-bipartite-matching
- Pedestrians detector: https://github.com/sturkmen72/C4-Real-time-pedestrian-detection
- Non Maximum Suppression: https://github.com/Nuzhny007/Non-Maximum-Suppression
- MobileNet SSD: https://github.com/chuanqi305/MobileNet-SSD
- YOLO: https://pjreddie.com/darknet/yolo/
- GOTURN models: https://github.com/opencv/opencv_extra/tree/c4219d5eb3105ed8e634278fad312a1a8d2c182d/testdata/tracking
GNU GPLv3: http://www.gnu.org/licenses/gpl-3.0.txt
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