Detecting individual body parts improves mouse behavior classification

We experiment with interactive machine learning for mouse behavior classification, following the pioneering work JAABA [1]. Here, we describe a simple image processing pipeline that allows extracting individual body parts from single mouse top view video. Our experiments show that behavior classification accuracy increases substantially when transitioning from wholebody descriptors to features computed from individual body parts, their position and motion.