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Reference
- Real time multiple objects tracking and identification based on discrete wavelet transform: 前景分割算法过时，跟踪算法没提
- Real-time Multiple Objects Tracking with Occlusion Handling in Dynamic Scenes: 前景分割算法可以不看，跟踪算法中的分配算法可以直接用Hungarian算法代替，再利用重叠分析处理合并，利用特征匹配处理分裂。特征上，用的是RGB分布的KL距离。实际上，文中提到速度，外形，颜色特征。
Occlusion handle
- Tracking multiple objects through occlusion with online sampling and position estimation
- Multi-Object Tracking Using Color, Texture and Motion
- Multi-class object tracking algorithm that handles fragmentation and grouping
- Segmentation, Ordering and Multi-Object Tracking using Graphical Models
- An Efficient Sequential Approach to Tracking Multiple Objects Through Crowds for Real-Time Intelligent CCTV Systems
- Real-time object tracking and classification using a static camera
- Patches-based Markov random field model for multiple object tracking under occlusion
- An improved occlusion handling for appearance-based tracking
- Solving the multi object occlusion problem in a multiple camera tracking system
- Trajectory occlusion handling with multiple-view distance-minimization clustering
- Multi-person tracking-by-detection with local particle filtering and global occlusion handling
- A blob representation for tracking robust to merging and fragmentation
- Object tracking with appearance-based kalman particle filter in presence of occlusions
- Multiple object tracking based on the partition of the bipartite graph
- Feature-based detection and correction of occlusions and split of video objects
- Robust multiple human tracking using particle swarm optimization and the Kalman filter on full occlusion conditions
- Kalman filter based multiple objects detection-tracking algorithm robust to occlusion
- Occlusion detection and handling: a review
- MCMC-based human tracking with stereo cameras under frequent interaction and occlusion
Related work
- Real-time Object Classification in Video Surveillance Based on Appearance Learning
- A fast and robust people counting method in video surveillance
- Sparse camera network for visual surveillance–a comprehensive survey
- Multitarget tracking with a corner-based particle filter
- Real‐time smart surveillance using motion analysis
- Fusion-based multi-target tracking and localization for intelligent surveillance systems
- A Survey on object detect, track and identify using video surveillance
- Object identification, enhancement and tracking under dynamic background conditions