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Learning Deep Feature Representations with Domain Guided Dropout for Person Re-identification
Computer Vision and Pattern Recognition, 2016Learning generic and robust feature representations with data from multiple domains for the same problem is of great value, especially for the problems that have multiple datasets but none of them are large enough to provide abundant data variations.
Tong Xiao +3 more
semanticscholar +1 more source
Spindle Net: Person Re-identification with Human Body Region Guided Feature Decomposition and Fusion
Computer Vision and Pattern Recognition, 2017Person re-identification (ReID) is an important task in video surveillance and has various applications. It is non-trivial due to complex background clutters, varying illumination conditions, and uncontrollable camera settings.
Haiyu Zhao +7 more
semanticscholar +1 more source
2011
The first book of its kind dedicated to the challenge of person re-identification, this text provides an in-depth, multidisciplinary discussion of recent developments and state-of-the-art methods. Features: introduces examples of robust feature representations, reviews salient feature weighting and selection mechanisms and examines the benefits of ...
Shuicheng Yan +3 more
openaire +2 more sources
The first book of its kind dedicated to the challenge of person re-identification, this text provides an in-depth, multidisciplinary discussion of recent developments and state-of-the-art methods. Features: introduces examples of robust feature representations, reviews salient feature weighting and selection mechanisms and examines the benefits of ...
Shuicheng Yan +3 more
openaire +2 more sources
Person Re-identification by Multi-Channel Parts-Based CNN with Improved Triplet Loss Function
Computer Vision and Pattern Recognition, 2016Person re-identification across cameras remains a very challenging problem, especially when there are no overlapping fields of view between cameras. In this paper, we present a novel multi-channel parts-based convolutional neural network (CNN) model ...
De Cheng +4 more
semanticscholar +1 more source
Isosceles Constraints for Person Re-Identification
IEEE Transactions on Image Processing, 2020In the existing works of person re-identification (ReID), batch hard triplet loss has achieved great success. However, it only cares about the hardest samples within the batch. For any probe, there are massive mismatched samples (crucial samples) outside the batch which are closer than the matched samples.
Furong Xu +3 more
openaire +3 more sources
Benchmarking for Person Re-identification
2014The evaluation of computer vision and pattern recognition systems is usually a burdensome and time-consuming activity. In this chapter all the benchmarks publicly available for re-identification will be reviewed and compared, starting from the ancestors VIPeR and Caviar to the most recent datasets for 3D modeling such as SARC3d (with calibrated cameras)
VEZZANI, Roberto, CUCCHIARA, Rita
openaire +1 more source
Face in Person Re-Identification
2014The face represents one of the most diffused and established biometrics for both identity verification and recognition with a large corpus of research focused on advancing the accuracy, the robustness, and the response speed of face recognition systems by means of 2D, 3D, and hybrid approaches.
Abate, Andrea F. +2 more
openaire +2 more sources
Dynamic Dual-Attentive Aggregation Learning for Visible-Infrared Person Re-Identification
European Conference on Computer Vision, 2020Visible-infrared person re-identification (VI-ReID) is a challenging cross-modality pedestrian retrieval problem. Due to the large intra-class variations and cross-modality discrepancy with large amount of sample noise, it is difficult to learn ...
Mang Ye +4 more
semanticscholar +1 more source
Partial Person Re-Identification
2015 IEEE International Conference on Computer Vision (ICCV), 2015We address a new partial person re-identification (re-id) problem, where only a partial observation of a person is available for matching across different non-overlapping camera views. This differs significantly from the conventional person re-id setting where it is assumed that the full body of a person is detected and aligned.
Shengcai Liao +5 more
openaire +2 more sources
Long-Term Cloth-Changing Person Re-identification
Asian Conference on Computer Vision, 2020Person re-identification (Re-ID) aims to match a target person across camera views at different locations and times. Existing Re-ID studies focus on the short-term cloth-consistent setting, under which a person re-appears in different camera views with ...
Xuelin Qian +7 more
semanticscholar +1 more source