Person re-identification by Local Maximal Occurrence representation and metric learning
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- Type
- article
- Published
- 2014-06-17
- Cited by
- 2,143
- References
- 51
- Access
- Open access
- OpenAlex
- https://openalex.org/W1789559265
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:14124239
Keywords
Dimensionality reduction, Dimension (graph theory), Reduction (mathematics), Metric (unit), Identification (biology)
References
- Evaluating Appearance Models for Recognition, Reacquisition, and Tracking
- Regionlets for Generic Object Detection
- Efficient model selection for regularized linear discriminant analysis
- Person re-identification by symmetry-driven accumulation of local features
- DeepReID: Deep Filter Pairing Neural Network for Person Re-identification
- Person re-identification by probabilistic relative distance comparison
- Semi-supervised Coupled Dictionary Learning for Person Re-identification
- Person Re-Identification Over Camera Networks Using Multi-Task Distance Metric Learning
- Color Invariants for Person Reidentification
- Symmetry-driven accumulation of local features for human characterization and re-identification
- Modeling pixel process with scale invariant local patterns for background subtraction in complex scenes
- A comparative study of texture measures with classification based on featured distributions
- Person re-identification by manifold ranking
- Unsupervised Salience Learning for Person Re-identification
- Locally Aligned Feature Transforms across Views
- PCCA: A new approach for distance learning from sparse pairwise constraints
- Large scale metric learning from equivalence constraints
- Person re-identification based on visual saliency
- The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition by Trevor Hastie, Robert Tibshirani, Jerome Friedman
- Learning Mid-level Filters for Person Re-identification
Cited by
- Person Reidentification via Discrepancy Matrix and Matrix Metric
- Video-Based Person Re-Identification by an End-To-End Learning Architecture with Hybrid Deep Appearance-Temporal Feature
- Unsupervised Person Re-Identification by Deep Asymmetric Metric Embedding
- Person Reidentification by Joint Local Distance Metric and Feature Transformation
- Subject centric group feature for person re-identification
- Person Re-Identification by Saliency Learning
- Similarity Learning with Top-heavy Ranking Loss for Person Re-identification
- Constrained Deep Metric Learning for Person Re-identification
- A pool of multiple person re-identification experts
- Multi-Task Learning with Low Rank Attribute Embedding for Person Re-Identification
- Scalable Person Re-identification: A Benchmark
- Exploiting Cross Domain Relationships for Target Recognition
- Person re-identification via hypergraph-based matching
- Efficient PSD Constrained Asymmetric Metric Learning for Person Re-Identification
- Nonlinear Local Metric Learning for Person Re-identification
- Structured learning of metric ensembles with application to person re-identification
- PersonNet: Person Re-identification with Deep Convolutional Neural Networks
- Multi-Region bilinear convolutional neural networks for person re-identification
- Ordinal margin metric learning and its extension for cross-distribution image data
- Person re-identification by improved Local Maximal Occurrence with color names
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