MUlti-Store Tracker (MUSTer): A cognitive psychology inspired approach to object tracking
Explore this paper's citation graph
- Type
- preprint
- Published
- 2015-06-07
- Cited by
- 639
- References
- 53
- Access
- Open access
- OpenAlex
- https://openalex.org/W1915599933
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:394290
Keywords
BitTorrent tracker, Computer science, Video tracking, Artificial intelligence, Computer vision
References
- A First Look at Music Composition using LSTM Recurrent Neural Networks
- Multiple View Geometry in Computer Vision
- Visual object tracking using adaptive correlation filters
- A survey of appearance models in visual object tracking
- Tracking the invisible: Learning where the object might be
- Consensus-based matching and tracking of keypoints for object tracking
- Accurate Scale Estimation for Robust Visual Tracking
- Object Tracking by Oversampling Local Features
- Learning occlusion with likelihoods for visual tracking
- Robust object tracking via sparsity-based collaborative model
- Context tracker: Exploring supporters and distracters in unconstrained environments
- Memory: A Contribution to Experimental Psychology
- Recent advances and trends in visual tracking: A review
- Adaptive Color Attributes for Real-Time Visual Tracking
- Self-Paced Learning for Long-Term Tracking
- MLESAC: A New Robust Estimator with Application to Estimating Image Geometry
- Long Short-Term Memory
- Online Object Tracking: A Benchmark
- SIFT Flow: Dense Correspondence across Scenes and Its Applications
- Robust Multitask Multiview Tracking in Videos
Cited by
- Learning Multi-domain Convolutional Neural Networks for Visual Tracking
- Visual Object Tracking Performance Measures Revisited
- An Experimental Survey on Correlation Filter-based Tracking
- The Visual Object Tracking VOT2015 Challenge Results
- Staple: Complementary Learners for Real-Time Tracking
- Learning in high-dimensional multimedia data: the state of the art
- Tracking-by-Segmentation with Online Gradient Boosting Decision Tree
- Joint Scale-Spatial Correlation Tracking with Adaptive Rotation Estimation
- Robust Visual Tracking by Exploiting the Historical Tracker Snapshots
- Robust object tracking with a hierarchical ensemble framework
- Coreset-Based Adaptive Tracking
- BIT: Biologically Inspired Tracker
- A universal update-pacing framework for visual tracking
- Robust Visual Tracking via Basis Matching
- Object Detection from Video Tubelets with Convolutional Neural Networks
- T-CNN: Tubelets With Convolutional Neural Networks for Object Detection From Videos
- Temporal Restricted Visual Tracking Via Reverse-Low-Rank Sparse Learning
- Deformable Parts Correlation Filters for Robust Visual Tracking
- Clustering based ensemble correlation tracking
- cvpaper.challenge in 2015 - A review of CVPR2015 and DeepSurvey
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