Leveraging local neighborhood topology for large scale person re-identification
Semi-supervised approach that leverages all available imagery for re-identification. Brings the advantages of structured re-identification to unstructured problems. State-of-the-art performance on standard datasets. Results on re-identification problems with more than 30000 images. Performance improves with more images, unlike other techniques.
re-identification semi-supervised conditional random field ethz caviar 3dpes cmv100