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A Bayesian Approach to Tracking Learning Detection [chapter]

Giorgio Gemignani, Wongun Choi, Alessio Ferone, Alfredo Petrosino, Silvio Savarese
2013 Lecture Notes in Computer Science  
This work investigates the problem of robust, long-term visual tracking of unknown objects in unconstrained environments.  ...  The performance and the long-term stability are demonstrated and evaluated on a set of challenging video sequences usually employed to test tracking algorithms.  ...  In [12] single target tracking is defined as the problem of "long-term on-line tracking with minimum prior information" where the tracker learns an appearance model by continuously adapting itself to  ... 
doi:10.1007/978-3-642-41181-6_81 fatcat:zqrtwmr3i5hijge75e7o7gcq5e

Event Understanding of Human-Object Interaction: Object Movement Detection via Stable Changes [chapter]

Shigeyuki Odashima, Taketoshi Mori, Masamichi Simosaka, Hiroshi Noguchi, Tomomasa Sato
2011 Studies in Computational Intelligence  
To categorize objects and non-objects via the stable changes even though non-objects make long-term changes (e.g. a person is sitting down), we employ motion history of changed regions.  ...  When object movement detection is performed in household environments, there are several difficulties: the method needs to detect object movements robustly even if sizes of objects are small, the method  ...  As object detection methods based on background subtraction methods, the method via detection of long-term changes [6] and methods via detection of background model adaptation caused by long-term changes  ... 
doi:10.1007/978-3-642-17554-1_9 fatcat:bv65ldvuhjf6tdgucv2xtqohxm

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.  ...  On multiple real-life video sequences obtained for a single camera as well as a camera network, we compare the performance of some of the methods.  ...  ., through a DARPA STTR award (#W31P4Q-08-C-0464).  ... 
doi:10.1007/978-0-85729-997-0_6 fatcat:ohdbuf5wqzeplevugoek242mne

Data Association Methods via Video Signal Processing in Imperfect Tracking Scenarios: A Review and Evaluation

Hui Li, Yapeng Liu, Wenzhong Lin, Lingwei Xu, Junyin Wang
2020 Mathematical Problems in Engineering  
Data association is a very important link in tracking algorithms. Complexity and efficiency of association method have a direct impact on the performance of multiobject tracking.  ...  However, there is a lack of overviews about data association methods.  ...  long-term cues.  ... 
doi:10.1155/2020/7549816 fatcat:ezj5puaimnbixdvfal2ruvdllm

Surf points based Moving Target Detection and Long-term Tracking in Aerial Videos

2016 KSII Transactions on Internet and Information Systems  
A novel method based on Surf points is proposed to detect and lock-track single ground target in aerial videos.  ...  The long-term tracking is updated following target scaling, occlusion and large deformation.  ...  In order to keep robust long-term tracking in the presence of scale changing and object occlusion, the two-layered update mechanism is proposed.  ... 
doi:10.3837/tiis.2016.11.023 fatcat:rzfdhrvh4bdf5gndc6ran2chzq

A Real-Time and Long-Term Face Tracking Method Using Convolutional Neural Network and Optical Flow in IoT-Based Multimedia Communication Systems

Hanchi Ren, Yi Hu, San Hlaing Myint, Kun Hou, Xiuyu Zhang, Min Zuo, Chi Zhang, Qingchuan Zhang, Haipeng Li, Deepak Gupta
2021 Wireless Communications and Mobile Computing  
To overcome these defects, this paper proposes a novel face tracking strategy by combining CNN and optical flow, namely, C-OF, which achieves an extremely fast, stable, and long-term face tracking system  ...  The experimental results illustrate that our proposed C-OF outperforms both face detection and object tracking methods.  ...  Foundation of Ministry of Education of China (No. 20YJCZH229).  ... 
doi:10.1155/2021/6711561 fatcat:uaq574tlmvhhxjycctj2xpyqzu

Robust Real-time Detection of Abandoned Objects using a Dual Background Model

2020 KSII Transactions on Internet and Information Systems  
, long-term abandonment, and owner's re-attendance as well as general detection of abandoned objects.  ...  Through the template registration of a candidate stationary object and presence authentication methods presented in this paper, we can handle some complex cases such as occlusions, illumination changes  ...  One of the disadvantages is that it is difficult to select and track a stationary object among all the foregrounds generated from a single background model [1, 2] .  ... 
doi:10.3837/tiis.2020.02.017 fatcat:geo6rqoo7vh5rnch5nz3ie5d6y

Long-term correlation tracking

Chao Ma, Xiaokang Yang, Chongyang Zhang, Ming-Hsuan Yang
2015 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)  
In this paper, we address the problem of long-term visual tracking where the target objects undergo significant appearance variation due to deformation, abrupt motion, heavy occlusion and out-of-view.  ...  In this setting, we decompose the task of tracking into translation and scale estimation of objects.  ...  Second, it is critical to enhance the detection module of a long-term tracker to (i) estimate the scale change and (ii) redetect the object in case of tracking failure when long-term occlusion or out-of-view  ... 
doi:10.1109/cvpr.2015.7299177 dblp:conf/cvpr/MaYZY15 fatcat:45hg4wqx75esrnolt75um7yjs4

OnBoard Vision Based Object Tracking Control Stabilization Using PID Controller

Vinayagam Mariappan, Minwoo Lee, Juphil Cho, Jaesang Cha
2016 The International Journal of Advanced Culture Technology  
In this paper, PID control used to improve the stability of tracking system, so that the result object tracking became more stable than before, it can be seen from error of tracking.  ...  can't track object suddenly along to the direction of objects movement.  ...  TLD algorithm [7] is a single-target algorithm which can track target for a long time. Figure 2.  ... 
doi:10.17703/ijact.2016.4.4.81 fatcat:iybhrwyzm5f2tkxlxfxuimaoni

pcnaDeep: A Fast and Robust Single-Cell Tracking Method Using Deep-Learning Mediated Cell Cycle Profiling [article]

Yifan Gui, Shuang Shuang Xie, Yanan Wang, Ping Wang, Renzhi Yao, Xukai Gao, Yutian Dong, Gaoang Wang, Kuan Yoow Chan
2021 bioRxiv   pre-print
By incorporating cell cycle information from a well-established fluorescent cell cycle reporter, we associate mitosis relationships enabling high fidelity long-term single-cell tracking.  ...  One barrier that limits the adoption of single-cell analysis in biomedical research is the lack of efficient methods to robustly track single-cells over cell division events.  ...  We would like to thank Shengyu Hao and members of the Gaoang Wang lab for their fruitful discussions.  ... 
doi:10.1101/2021.09.19.460933 fatcat:6ljzt5hbljdbfawgfdqgq7k5si

Globally optimal solution to multi-object tracking with merged measurements

Joao F. Henriques, Rui Caseiro, Jorge Batista
2011 2011 International Conference on Computer Vision  
A severe limitation is the inability to model multiple objects that are merged into a single measurement, and track them as a group, while retaining optimality.  ...  The problem of tracking individual objects across groups is then posed as a standard optimal assignment.  ...  Objects in a group are identified by nested outlines with their respective colors. Trails show the short-term trajectory of each object.  ... 
doi:10.1109/iccv.2011.6126532 dblp:conf/iccv/HenriquesCB11 fatcat:3azlb3gvsbblbg46ivsgri2v4i

Temporally stable feature clusters for maritime object tracking in visible and thermal imagery

Christopher Osborne, Tom Cane, Tahir Nawaz, James Ferryman
2015 2015 12th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)  
This paper describes a new approach to detect and track maritime objects in real time.  ...  Object detection is based on agglomerative clustering of temporally stable features.  ...  Future work will focus on performing comparisons of the proposed algorithm with existing ones on a larger sequence set and improve on the long-term tracking ability.  ... 
doi:10.1109/avss.2015.7301769 dblp:conf/avss/OsborneCNF15 fatcat:msc2sxtbtrebzobpspeown4qiu

Vehicle tracking and motion prediction in complex urban scenarios

Christoph Hermes, Julian Einhaus, Markus Hahn, Christian Wohler, Franz Kummert
2010 2010 IEEE Intelligent Vehicles Symposium  
A two-stage mean-shift algorithm is used for detection and tracking of the traffic participants. A hierarchical setup depending on the history of the tracked object is applied for prediction.  ...  The evaluation shows that the proposed system is able to track the road users in a stable manner and predict their positions at least one order of magnitude more accurately than a standard kinematic prediction  ...  However, using the trajectory particle filter method often leads to a reduction of the tracking error, which means that the objects are tracked in a more stable manner.  ... 
doi:10.1109/ivs.2010.5548014 dblp:conf/ivs/HermesEHWK10 fatcat:6xsfdbvijrca5pg4jti3stlc6m

Tracking Moving Objects in Road Traffic Sequences [chapter]

Salma Kammoun Jarraya, Najla Bouarada Ghrab, Mohamed Hammami, Hanene Ben-Abdallah
2012 Lecture Notes in Computer Science  
Secondly, a Long-Term Processing (LTP) is applied to cope with track management issues.  ...  The obtained results prove that our method can provide an effective and stable road objects tracks.  ...  Our method is based on two prior processing: (1) Short-Term Processing (STP) that is based on spatial analysis and multilevel region descriptors matching. (2) Long-Term Processing (LTP) that is based on  ... 
doi:10.1007/978-3-642-31254-0_46 fatcat:m6vvv6sphna4xhhpmerm5vdmzm

Modelling Simulation and Performance Analysis for Footwear Manufacturing System

2021 Computer Engineering and Intelligent Systems  
In the skeleton fitting stage, the 3D pose of every object is estimated by maximizing an objective function that combines a skeleton fitting term with motion and pose priors.  ...  Fully automatic tracking of articulated motion in real-time with a monocular RGB camera is a challenging problem which is essential for many virtual reality (VR) and human-computer interaction applications  ...  Many of these algorithms [1, 3] track only a single object (e.g. [3] ).  ... 
doi:10.7176/ceis/12-1-01 fatcat:4dtqx5tlonbgzfktipfysakyca
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