Object retrieval in video data using complementary detectors

摘要

Automatic object retrieval from input video is based on learned, complementary detectors created for each of a plurality of different motionlet clusters. The motionlet clusters are partitioned from a dataset of training vehicle images as a function of determining that vehicles within each of the scenes of the images in each cluster share similar two-dimensional motion direction attributes within their scenes. To train the complementary detectors, a first detector is trained on motion blobs of vehicle objects detected and collected within each of the training dataset vehicle images within the motionlet cluster via a background modeling process; a second detector is trained on each of the training dataset vehicle images within the motionlet cluster that have motion blobs of the vehicle objects but are misclassified by the first detector; and the training repeats until all of the training dataset vehicle images have been eliminated as false positives or correctly classified.

主权项

1. A method for automatic object retrieval from input video based on learned detectors, the method comprising:
a processing unit creating a plurality of complementary detectors for each of a plurality of different motionlet clusters that are partitioned from a plurality of training dataset vehicle images as a function of determining that vehicles within each of scenes of the images in each cluster share similar two-dimensional motion direction attributes within their scene, by: training a first detector on motion blobs of vehicle objects detected and collected within each of the training dataset vehicle images within the motionlet cluster via a background modeling process; training a second detector on each of the training dataset vehicle images within the motionlet cluster that have motion blobs of the vehicle objects but are misclassified by the first detector; and repeating the steps of training the first and second detector until all of the training dataset vehicle images within the motionlet cluster have been eliminated as false positives or correctly classified by the first or second detectors.