Real-time Multiple Objects Tracking with Occlusion Handling in Dynamic Scenes

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