Dissimilarity-based people re-identification and search for intelligent video surveillance
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Summary
A novel framework, named MultipleComponentDissimilarity (MCD), is presented, to construct descriptors of images of persons, using dissimilarity representations, a recent paradigm in machine learning in which the objects of interest are described as vectors of dissimilarities to a set of predefined prototypes.
- Type
- article
- Published
- 2013-04-23
- Cited by
- 8
- References
- 134
- OpenAlex
- https://openalex.org/W82953444
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:32129396
Keywords
Artificial intelligence, Computer science, Computer vision, Identification (biology), Torso
References
- Pattern Classification
- Evaluating Appearance Models for Recognition, Reacquisition, and Tracking
- THE "AVERAGE MAN" ?
- The Dissimilarity Representation for Pattern Recognition - Foundations and Applications
- Pattern Recognition and Machine Learning
- Evaluation of color spaces for person re-identification
- Multi-signature based person re-identification
- Track matching over disjoint camera views based on an incremental major color spectrum histogram
- Multimodal biometrics: An overview
- Interest points harvesting in video sequences for efficient person identification
- Engineering Anthropometry Methods
- Person re-identification by symmetry-driven accumulation of local features
- Low-Resolution Face Recognition via Coupled Locality Preserving Mappings
- Re-identify people in wide area camera network
- Part-based spatio-temporal model for multi-person re-identification
- A decision-theoretic generalization of on-line learning and an application to boosting
- Object tracking: A survey
- Illuminant and device invariant colour using histogram equalisation
- Visual analysis of gait as a cue to identity
- Maximally Stable Colour Regions for Recognition and Matching
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- Track-based event recognition in a realistic crowded environment
- Automatic detection of suspicious behavior of pickpockets with track-based features in a shopping mall
- Integrated roadmap for the rapid finding and tracking of people at large airports
- Appearance Descriptors for Person Re-identification: a Comprehensive Review
- RGB-D datasets using microsoft kinect or similar sensors: a survey
- Person Retrieval in Video Surveillance Using Deep Learning-Based Instance Segmentation
- 3D Perspective towards the Development of a Metadata-Driven Sharing Mechanism for Heterogeneous CCTV Systems
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