SVCL Motion Classification

Center Hall Plaza (Pedestrian Intersection) ... Scene Description - [html] [pdf]
Congestion Level Experiments Oblique Angle Still				Experiment Accuracy
				Martin NN = 70% Nearest-neighbor classifier using Martin distance. State KL NN = 71% Nearest-neighbor classifier using state KL divergence State KL SVM = 73% SVM classifier using state KL kernel Image KL NN = 73% Nearest-neighbor classifier using image KL divergence Image KL SVM = 72% SVM classifier using image KL kernel
Description In this experiment, we attempt to discriminate between three congestion levels of pedsetrian traffic using still clips at an oblique angle. Location: 2nd floor of Center Hall, UC San Diego. Looking Northwest down at pedestrian intersection	Clips: High Flow divx mov mp4 divx 1 2 mov (h.264) 1 2 mp4 (mpeg4) 1 2	Clips: Medium Flow divx mov mp4 divx 1 2 3 mov (h.264) 1 2 3 mp4 (mpeg4) 1 2 3	Clips: Low Flow divx mov mp4 divx 1 mov (h.264) 1 mp4 (mpeg4) 1

Oblique Angle Pan		Need other classes to discriminate.	Need other classes to discriminate.	Experiment Accuracy
				No Experimental Results
Description No Experiment set up yet.	Clips: Low Flow divx mov mp4 divx 1 mov (h.264) 1 mp4 (mpeg4) 1