US 9,811,735 B2
Generic object detection on fixed surveillance video
Eric Cosatto, Red Bank, NJ (US)
Assigned to NEC Corporation, Tokyo (JP)
Filed by NEC Laboratories America, Inc., Princeton, NJ (US)
Filed on Apr. 1, 2016, as Appl. No. 15/88,530.
Claims priority of provisional application 62/146,570, filed on Apr. 13, 2015.
Prior Publication US 2016/0300111 A1, Oct. 13, 2016
Int. Cl. G06K 9/00 (2006.01); G06K 9/62 (2006.01); H04N 7/18 (2006.01)
CPC G06K 9/00718 (2013.01) [G06K 9/00771 (2013.01); G06K 9/6254 (2013.01)] 23 Claims
OG exemplary drawing
 
1. A computer vision system, comprising:
automatically extracting tracks of moving objects on a set of video sequences;
choosing a video frame belonging to the track;
overlaying onto said video frame, the pixels of selected bounding boxes of a tracked object at key positions along the tracks; and
highlighting a bounding box of the overlaid objects;
selecting a subset of tracks for training;
rendering each training track into a composite image;
labeling each track[s] using the rendered composite image[s] in one shot with an operator;
training a track classifier by supervised machine learning using the labeled tracks;
applying the trained track classifier to the remainder of the tracks; and
selecting tracks classified with a low confidence by the classifier for a subsequent labeling; and
efficiently labeling video data for training purposes and minimizing operator intervention.