Machine Vision
Separating people on rickshaw, bike with pedestrian
My current classification model accurately classifies 25 native and general classes on the street. But the problem comes when classifying people and people on rickshaws, bikes, etc. I trained an SVM for further classification, but the testing result wasn't good enough. I can train a neural network, but first, I was wondering if there is another way to solve this problem—a mathematical solution or a lightweight context-based solution. (A rickshaw is a three-wheeler like tri-cycle)
