Part-Based Visual Tracking via Online Weighted P-N Learning

Table 1

The tracking sequences used in our experiments.

Sequence	Frames	Main challenges
Cup	303	Direction variation and scale variation
DavidIndoor	770	Illumination, scale variation, and pose change
DavidOutdoor	569	Illumination and scale variation
Deer	71	Fast motion, motion blur, and background clutter
Juice	404	Direction variation and scale variation
Jumping	313	Fast motion and motion blur
Lemming	900	Fast motion, motion blur, and occlusion
Occlusion1	415	Occlusion
OneLSR	559	Scale variation and occlusion
OSOW2cor	320	Scale variation and pose change
PersonFloor	387	Scale variation and occlusion
Subway	175	Occlusion and background clutter
Woman	551	Occlusion, scale variation, and pose change