#computer vision Assignments for Tracking and Detection in Computer Vision Course at Technical University of Munich

Implementations:

1. Image processing, Pose Estimation and HOG (Histogram of Oriented Gradients) descriptors
2. Object Classification (Random Forest)
3. Object Detection (Random Forest)

Steps: To install opencv in your home directory, follow this video https://www.youtube.com/watch?v=6pABIQl1ZP0 Some modifications:

change "python3.5-dev" to "python3.7-dev" and remove "libjasper-dev" if you got error: No pakage opencv found

try this one: sudo apt-get install libopencv-dev

Running on Mac/Windows? - Think of DOCKER!

To build the solution For example for task1 to build the code: g++ task1.cpp HOGDescriptor.cpp -o output pkg-config --cflags --libs opencv Implementation results Decision tree of Accuracy 53.33 Random forest accuracy - somewhere around 80 are obtained