Cost-sensitive canonical correlation analysis for semi-supervised multi-view learning
Canonical correlation analysis (CCA) is a cost insensitive method. It assumes the same loss
for different classification errors and aims to attain a low error rate by maximizing the cross …
for different classification errors and aims to attain a low error rate by maximizing the cross …
Multi-level common space learning for person re-identification
Matching people in different cameras, commonly referred to as person re-identification, is a
challenging task. The challenges come from the drastic appearance variation across …
challenging task. The challenges come from the drastic appearance variation across …
Person re-identification by integrating metric learning and support vector machine
Person re-identification (PRID) refers to a technology of matching person across non-
overlapping camera views. Metric learning is one of the most commonly used methods in …
overlapping camera views. Metric learning is one of the most commonly used methods in …
Asymmetric projection and dictionary learning with listwise and identity consistency constraints for person re-identification
Person re-identification aims to identify the same person across non-overlapping camera
views. It remains very challenging due to large differences in pose, illumination, and …
views. It remains very challenging due to large differences in pose, illumination, and …
Salient region-based least-squares log-density gradient clustering for image-to-video person re-identification
Because of its distinction and reliability, the person-salient region has been applied to
pedestrian re-identification (re-id) across disjoint camera views. Despite the great progress …
pedestrian re-identification (re-id) across disjoint camera views. Despite the great progress …
Person re-identification post-rank optimization via hypergraph-based learning
In computer vision, person re-identification has recently received significant attention from
researchers and is becoming an emerging research domain with various challenges …
researchers and is becoming an emerging research domain with various challenges …
Similarity learning with top-heavy ranking loss for person re-identification
Person re-identification is the task of finding a person of interest across a network of
cameras. In this paper, we propose a new similarity learning method for person re …
cameras. In this paper, we propose a new similarity learning method for person re …
Person re-identification with dictionary learning regularized by stretching regularization and label consistency constraint
Person re-identification (PRID) is a rather challenging task due to the ambiguity of visual
appearance. In this paper, we develop a dictionary-based projection transformation learning …
appearance. In this paper, we develop a dictionary-based projection transformation learning …
Group structure preserving pedestrian tracking in a multicamera video network
Pedestrian tracking in video has been a popular research topic with many practical
applications. In order to improve tracking performance, many ideas have been proposed …
applications. In order to improve tracking performance, many ideas have been proposed …
A person re-identification framework by inlier-set group modeling for video surveillance
Recognizing the same person across different camera views is crucial and yet difficult task in
video surveillance. The difficulty lies in finding the matched image-pair against drastic …
video surveillance. The difficulty lies in finding the matched image-pair against drastic …