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Multi-target tracking using long-term stochastic associations

Ting-Yueh Jeng, Bi Song, Elliot Staudt, Min Liu, Amit Roy-Chowdhury, Ashis SenGupta
2010 2010 IEEE International Conference on Image Processing  
In this paper, we consider the problem of long-term tracking in video in application domains where context information is not available a priori, nor can it be learned online.  ...  Maintaining the stability of tracks on multiple targets in video over extended time periods remains a challenging problem.  ...  In this paper, we use Hungarian algorithm [8] to find the maximum matching. By connecting associated tracklets, the long-term tracks are generated.  ... 
doi:10.1109/icip.2010.5651303 dblp:conf/icip/JengSSLCS10 fatcat:txxl73zitbgjvi6yrtld5sirc4

Wide Area Tracking in Single and Multiple Views [chapter]

Bi Song, Ricky J. Sethi, Amit K. Roy-Chowdhury
2011 Visual Analysis of Humans  
In this chapter, we provide an overview of research in the area of long-term tracking in video.  ...  Maintaining the stability of tracks on multiple targets in video over extended time periods and wide areas remains a challenging problem.  ...  them so as to obtain stable, robust long-term tracks.  ... 
doi:10.1007/978-0-85729-997-0_6 fatcat:ohdbuf5wqzeplevugoek242mne

Hybrid Stochastic / Deterministic Optimization for Tracking Sports Players and Pedestrians [chapter]

Robert T. Collins, Peter Carr
2014 Lecture Notes in Computer Science  
the optimal multi-frame data association for each proposed detection hypothesis.  ...  We present a hybrid stochastic/deterministic optimization scheme that uses RJMCMC to perform stochastic search over the space of detection configurations, interleaved with deterministic computation of  ...  . 2) Unlike the majority of tracking-by-detection methods for multi-frame, multi-target tracking, our approach iteratively revises (including adding and removing) detections over the sequence of frames  ... 
doi:10.1007/978-3-319-10605-2_20 fatcat:cgjdcuoce5a6rm3ankra2anz6u

A Stochastic Graph Evolution Framework for Robust Multi-target Tracking [chapter]

Bi Song, Ting-Yueh Jeng, Elliot Staudt, Amit K. Roy-Chowdhury
2010 Lecture Notes in Computer Science  
This is achieved through a stochastic graph evolution step that considers the statistical properties of individual tracklets, as well as the statistics of the targets along each proposed long-term track  ...  In this paper, we consider the problem of long-term tracking in video in application domains where context information is not available a priori, nor can it be learned online.  ...  In order to correct the errors, we propose a stochastic tracklet association and adaptation strategy. Fig. 1 shows an overview of our long-term tracking system.  ... 
doi:10.1007/978-3-642-15549-9_44 fatcat:42ttwf2scbgujor37p7dykm7vy

Scalable Reinforcement Learning Policies for Multi-Agent Control [article]

Christopher D. Hsu, Heejin Jeong, George J. Pappas, Pratik Chaudhari
2021 arXiv   pre-print
We develop a Multi-Agent Reinforcement Learning (MARL) method to learn scalable control policies for target tracking.  ...  Our method can handle an arbitrary number of pursuers and targets; we show results for tasks consisting up to 1000 pursuers tracking 1000 targets.  ...  rewards rather than as a cooperative team gaining long term high rewards.  ... 
arXiv:2011.08055v4 fatcat:ldly2whgufahvg5z5cwur7r6bm

Multi-target out-of-sequence data association: Tracking using graphical models

Simon R. Maskell, Richard G. Everitt, Robert Wright, Mark Briers
2006 Information Fusion  
Recent research on the processing of such out-of-sequence data has culminated in the development of a number of algorithms for solving the associated tracking problem.  ...  of solutions to these two problems can be used together.  ...  The authors gratefully acknowledge additional funding from the Royal Commission for the Exhibition of 1851 and thank Csaba Szepesvari for useful discussions regarding transformations of random samples.  ... 
doi:10.1016/j.inffus.2005.07.001 fatcat:t7wch55dnndpbcmtheohynhfxu

Audio‐Visual Speaker Tracking [chapter]

Volkan Kılıç, Wenwu Wang
2017 Motion Tracking and Gesture Recognition  
To use multi-modal information, several approaches have been proposed which can be classified into two categories, namely deterministic and stochastic.  ...  One approach to overcome these issues is to use multi-modal information, as it conveys complementary information about the state of the speakers compared to single-modal tracking.  ...  An illustration of the RFS theory in a multi-target tracking application. One possible multi-target tracking scenario is given in (a), and (b) represents the RFS approach to multi-target tracking.  ... 
doi:10.5772/intechopen.68146 fatcat:m46rg3agvnfrnfmwbfsso322we

Multi-vehicle detection with identity awareness using cascade Adaboost and Adaptive Kalman filter for driver assistant system

Baofeng Wang, Zhiquan Qi, Sizhong Chen, Zhaodu Liu, Guocheng Ma, Xiaosong Hu
2017 PLoS ONE  
In this paper, we presented an improved multi-vehicle detection and tracking method using cascade Adaboost and Adaptive Kalman filter(AKF) with target identity awareness.  ...  The data association correctly assigned different detections with tracks using global nearest neighbour(GNN) algorithm while considering the local validation.  ...  Conclusion This paper has proposed an improved multi-vehicle tracking method using cascade Adaboost and adaptive Kalman filter with target identity awareness for driver assistant systems.  ... 
doi:10.1371/journal.pone.0173424 pmid:28296902 pmcid:PMC5351863 fatcat:wt6olqtd6jbfxc5figilojbb5m

Page 8333 of Mathematical Reviews Vol. , Issue 2000k [page]

2000 Mathematical Reviews  
This paper is concerned with production planning with a stochastic demand and a long-run average cost criterion.  ...  The controllers are useful for nonlinear stochastic systems where the linearized models include terms bilinear in the noise and states/controls and are significantly more accurate than if the bilinear  ... 

Robust Online Multi-target Visual Tracking using a HISP Filter with Discriminative Deep Appearance Learning [article]

Nathanael L. Baisa
2020 arXiv   pre-print
We propose a novel online multi-target visual tracker based on the recently developed Hypothesized and Independent Stochastic Population (HISP) filter.  ...  We apply this filter for tracking multiple targets in video sequences acquired under varying environmental conditions and targets density using a tracking-by-detection approach.  ...  These methods extend single target tracking to multi-target tracking through data association.  ... 
arXiv:1908.03945v6 fatcat:pkxqdmgfsfcnjpnzqlvbpscz2y

Probabilistic data association avoiding track coalescence

H.A.P. Blom, E.A. Bloem
2000 IEEE Transactions on Automatic Control  
First, the problem of multiple target tracking is embedded into one ltering for a linear descriptor system with stochastic coe cients.  ...  Abstract| F or the problem of tracking multiple targets the Joint Probabilistic Data Association (JPDA) approach h a s shown to be very e ective in handling clutter and missed detections.  ...  The rst direction starts by embedding the problem of multi-target tracking, given unassociated measurements from clutter and randomly detected targets, into one of ltering for a well-de ned system of stochastic  ... 
doi:10.1109/9.839947 fatcat:4flwdw7iezgwhhz5hd3quosjc4

Multi-Object Tracking with Multiple Cues and Switcher-Aware Classification [article]

Weitao Feng, Zhihao Hu, Wei Wu, Junjie Yan, Wanli Ouyang
2019 arXiv   pre-print
In this paper, we propose a unified Multi-Object Tracking (MOT) framework learning to make full use of long term and short term cues for handling complex cases in MOT scenes.  ...  to make matching decisions using extracted features from the main target and the switcher.  ...  Different from these works, we use the information from SOT together with long term cues from the trajectory for learning to associate detection/tracking results.  ... 
arXiv:1901.06129v1 fatcat:kpa6altoavggdoapl7whdaxq5i

Cross-View People Tracking by Scene-Centered Spatio-Temporal Parsing

Yuanlu Xu, Xiaobai Liu, Lei Qin, Song-Chun Zhu
2017 PROCEEDINGS OF THE THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE AND THE TWENTY-EIGHTH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE  
We evaluate the proposed method on these challenging videos and achieve promising multi-view tracking results.  ...  ., facing directions, postures and actions, to enhance cross-view tracklet associations, besides frequently used appearance and geometry features in the literature.In particular, the facing direction of  ...  Our-1 only uses appearance and geometry information for multi-view tracking.  ... 
doi:10.1609/aaai.v31i1.11190 fatcat:ar7knddm6jds3nga3buez4m4ia

Multi-object Tracking Using Particle Swarm Optimization on Target Interactions [chapter]

Bogdan Kwolek
2013 Advances in Heuristic Signal Processing and Applications  
At the beginning of each frame the objects are tracked individually using highly discriminative appearance models among different targets.  ...  The task of object tracking is considered as a numerical optimization problem, where a particle swarm optimization is used to track the local mode of the similarity measure.  ...  A widely used approach to multi-target tracking consists in exploiting a joint state-space representation, which concatenates all of the targets' states together [23] , or inferring this joint data association  ... 
doi:10.1007/978-3-642-37880-5_4 fatcat:goukftihwnexler3uj6dec6r7i

Wide-Area Search Tracking for Siamese Region Proposal Network

Hongwei Zhang, Xiaoxia Li, Bin Zhu, Qi Ma
2020 IEEE Access  
Motion association is good for shortterm prediction, but for a long-term occlusion, using deep feature association is more effective.  ...  LONG-TERM TRACKING The main problems that need to be solved in the long-term tracking include: preventing the error accumulation caused by the target deformation, possessing the ability of recapturing  ... 
doi:10.1109/access.2020.3003347 fatcat:kuzvzwxb2fgipgusn64hyerskm
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