Racking Earning Etection
نویسندگان
چکیده
FUTURE WORK Document the code and make it publically available. Automatic initialization, test different tracker and detector, eliminate planarity assumption, explicitly handle out-of-plane rotation, track multiple targets, learn shape. Our goal is long-term, real-time tracking of arbitrary objects. The object is defined by a region of interest in a single frame. The video sequence is unconstrained, the object might significantly change appearance, get partially or fully occluded or move in and out of the field of view. A framework addressing long-term tracking. TLD trains a detector of an object after initialization from a single patch and its warps.
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