Project Learning Notes

Tracking, Counting has always been quite interesting topic for sometime. Explored this codebase link

	#https://github.com/poojavinod100/People-Counting-Crowd-Density-Detection/blob/master/people_counter.py
	#pip install imutils
	#pip install CMake
	#pip install dlib
	python people_counter.py --prototxt mobilenet_ssd/MobileNetSSD_deploy.prototxt --model mobilenet_ssd/MobileNetSSD_deploy.caffemodel --output output/webcam_output.avi

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I liked the approach of directionality based tracking. This is very needed for directionality based counting. Hoping to reuse / implement it in people counting scenarios.

My perspective is

• Tracking by Sampling Frames (Reduce Load)
• Use Euclidean and other attributes to track/match
• Evaluate existing tracking built in OpenCV (Again these need frame by frame tracking)

Happy Learning!!!