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Scene-Independent Motion Pattern Segmentation in Crowded Video Scenes using Spatio-Angular Density-based Clustering

Abhilash K. Pai, Karunakar A. K., U. Raghavendra
2020 IEEE Access  
To address this problem, we propose a Spatio-Angular Density-based Clustering (SADC) approach, which performs motion pattern segmentation by clustering the spatial and angular information obtained from  ...  Effective integration of the spatio-angular information with an improvised density-based clustering algorithm makes this approach scene-independent.  ...  In this article, we propose a scene-independent motion pattern segmentation approach by using the spatial as well as angular features of a trajectory and subsequently applying an improvised density-based  ... 
doi:10.1109/access.2020.3015375 fatcat:7hvhwmxz6zg55gbkzxaf2cdeym

Effective Crowd Anomaly Detection Through Spatio-temporal Texture Analysis

Yu Hao, Zhi-Jie Xu, Ying Liu, Jing Wang, Jiu-Lun Fan
2018 International Journal of Automation and Computing  
Abnormal crowd behaviors in high density situations can pose great danger to public safety.  ...  Secondly, a novel scheme for defining crowd motion patterns (signatures) is devised to identify abnormal behaviors in the crowd by employing an enhanced gray level co-occurrence matrix model.  ...  , and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.  ... 
doi:10.1007/s11633-018-1141-z fatcat:pdvkpa4w75anfdr5mnm3bfasya

Automatic Detection of Unexpected Events in Dense Areas for Videosurveillance Applications [chapter]

Bertrand Luvison, Thierry Chateau, Jean-Thierry Lapreste, Patrick Sayd, Quoc Cuong
2011 Video Surveillance  
process. • A global approch, using motion, to be independent of the number of targets in the scene and to be more persistant.  ...  Global (or macroscopic) approaches that treat crowd as a single object without segmenting persons. Most of global methods are based on motion analysis.  ...  Video Surveillance This book presents the latest achievements and developments in the field of video surveillance.  ... 
doi:10.5772/15528 fatcat:2rqrig4k6jhwbmruhtbbndvbdy

Recent trends in crowd analysis: A review

Mounir Bendali-Braham, Jonathan Weber, Germain Forestier, Lhassane Idoumghar, Pierre-Alain Muller
2021 Machine Learning with Applications  
When crowd statistics determines the Level Of Service (LoS) of a crowded scene, crowd behavior analysis describes the motion patterns and the activities that are observed in a scene.  ...  In this review, we explore various studies related to crowd analysis. Crowd analysis is commonly broken down into two major branches: crowd statistics and crowd behavior analysis.  ...  The trajectories are clustering based on several parameters: position, density, shape, direction, using the Jaccard distance. Finally, the crowd flow is segmented using the DB-SCAN algorithm.  ... 
doi:10.1016/j.mlwa.2021.100023 fatcat:kc5skiri4rho7bmnn62yaiybru

Robust Real-Time Unusual Event Detection using Multiple Fixed-Location Monitors

Amit Adam, Ehud Rivlin, Ilan Shimshoni, Daviv Reinitz
2008 IEEE Transactions on Pattern Analysis and Machine Intelligence  
Since it is not based on objects' tracks, it is robust and works well in crowded scenes where tracking-based algorithms are likely to fail.  ...  Our algorithm runs in real-time. It was tested on a variety of real-life crowded scenes.  ...  However, these works which are based on clustering video segments have a more offline nature. Moreover, the complexity of these algorithms precludes predicting their suitability for a given scene.  ... 
doi:10.1109/tpami.2007.70825 pmid:18195449 fatcat:ispcyyyr25fa3ogfp4mnputfti

A Bio-Inspired, Motion-Based Analysis of Crowd Behavior Attributes Relevance to Motion Transparency, Velocity Gradients, and Motion Patterns

Florian Raudies, Heiko Neumann, Thomas Wennekers
2012 PLoS ONE  
In sum, motion transparency, image speeds, motion patterns, and speed gradients extracted from visual motion in videos are important features to describe the behavioral state of a motion crowd.  ...  In addition, locally detected decelerations or negative speed gradients of motions are a precursor of danger in crowd behavior as are globally detected motion patterns that show a contraction toward a  ...  Lin for kindly providing access to their video material of simulated crowd behavior. We are also grateful for the criticism of an anonymous reviewer that helped to improve the manuscript.  ... 
doi:10.1371/journal.pone.0053456 pmid:23300930 pmcid:PMC3534068 fatcat:fwx7ejuqb5eelhjaavb2a4su4a

Learning context for collective activity recognition

Wongun Choi, Khuram Shahid, Silvio Savarese
2011 CVPR 2011  
This enables a methodology for modeling crowd context. We employ a 3D Markov Random Field to regularize the classification and localize collective activities in the scene.  ...  Following [7], we propose to recognize collective activities using the crowd context and introduce a new scheme for learning it automatically.  ...  In order to perform the segmentation, we apply mean-shift clustering algorithm [8] over the response of RF classifier.  ... 
doi:10.1109/cvpr.2011.5995707 dblp:conf/cvpr/ChoiSS11 fatcat:jxffxuaohndf3bqeralszik4ti

A Survey on Visual Surveillance of Object Motion and Behaviors

W. Hu, T. Tan, L. Wang, S. Maybank
2004 IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews)  
In general, the processing framework of visual surveillance in dynamic scenes includes the following stages: modeling of environments, detection of motion, classification of moving objects, tracking, understanding  ...  Visual surveillance in dynamic scenes, especially for humans and vehicles, is currently one of the most active research topics in computer vision.  ...  Xu from the NLPR for their valuable suggestions and assistance in preparing this paper.  ... 
doi:10.1109/tsmcc.2004.829274 fatcat:cozxn2ogtrew3pybyuxcrj2rhi

$L_0$ Regularized Stationary-Time Estimation for Crowd Analysis

Shuai Yi, Xiaogang Wang, Cewu Lu, Jiaya Jia, Hongsheng Li
2017 IEEE Transactions on Pattern Analysis and Machine Intelligence  
In this paper, we tackle the problem of stationary crowd analysis which is as important as modeling mobile groups in crowd scenes and finds many important applications in crowd surveillance.  ...  crowd activities. 2) The averaged stationary-time map is estimated to analyze crowd scene structures. 3) The result of stationary-time estimation is also used to study the influence of stationary crowd  ...  Previous works mainly model the global motion patterns of pedestrians based on scene structures (e.g., entrances, exits, walls, and roads) and the interactions between individual moving pedestrians.  ... 
doi:10.1109/tpami.2016.2560807 pmid:28113539 fatcat:zkfcnva26bctfn4ggpv3i4ruq4

2021 Index IEEE Transactions on Image Processing Vol. 30

2021 IEEE Transactions on Image Processing  
-that appeared in this periodical during 2021, and items from previous years that were commented upon or corrected in 2021.  ...  Note that the item title is found only under the primary entry in the Author Index.  ...  ., +, TIP 2021 318-331 Crowd Scene Analysis Encounters High Density and Scale Variation.  ... 
doi:10.1109/tip.2022.3142569 fatcat:z26yhwuecbgrnb2czhwjlf73qu

Discovering salient objects from videos using spatiotemporal salient region detection

Rajkumar Kannan, Gheorghita Ghinea, Sridhar Swaminathan
2015 Signal processing. Image communication  
Detecting salient objects from images and videos has many useful applications in computer vision. In this paper, a novel spatiotemporal salient region detection approach is proposed.  ...  Relatively few spatiotemporal saliency detection models have been proposed for saliency detection in videos.  ...  The variant method PFR uses superpixel based Patch segmentation and uniform sampling based Faster Region segmentation, where FPR uses uniform sampling based Faster Patch segmentation and spectral clustering  ... 
doi:10.1016/j.image.2015.07.004 fatcat:tourjl47njbnfiim37tq4iuzg4

Video Processing from Electro-optical Sensors for Object Detection and Tracking in Maritime Environment: A Survey [article]

D. K. Prasad, D. Rajan, L. Rachmawati, E. Rajabaly, C. Quek
2016 arXiv   pre-print
This paper provides a comprehensive overview of various approaches of video processing for object detection and tracking in the maritime environment.  ...  Each of these has been studied extensively in maritime situations and has been shown to be challenging due to the presence of background motion especially due to waves and wakes.  ...  The organization of this survey is given in Fig. 1 .  ... 
arXiv:1611.05842v1 fatcat:da74eep66rdl5is2rwqsi7yzjm

Learning Neural Textual Representations for Citation Recommendation

Binh Thanh Kieu, Inigo Jauregi Unanue, Son Bao Pham, Hieu Xuan Phan, Massimo Piccardi
2021 2020 25th International Conference on Pattern Recognition (ICPR)  
Parallel Line Segments DAY 2 -Jan 13, 2021 Kim, Jaekyum; Koh, Junho; Choi, Jun Won 587 Video Object Detection Using Object's Motion Context and Spatio- Temporal Feature Aggregation DAY 2 -Jan  ...  Jiang Yu Zheng D2.2 Semantic Segmentation for Pedestrian Detection from Motion in Temporal Domain DAY 2 -Jan 13, 2021 Yumna Zahid, Muhammad A.  ... 
doi:10.1109/icpr48806.2021.9412725 fatcat:3vge2tpd2zf7jcv5btcixnaikm

Pedestrian Protection Systems: Issues, Survey, and Challenges

T. Gandhi, M.M. Trivedi
2007 IEEE transactions on intelligent transportation systems (Print)  
detection using sensors in vehicle and infrastructure.  ...  The pedestrian detection approaches are classified according to various criteria such as the type and configuration of sensors, as well as the video cues and classifiers used in detection algorithms.  ...  In [57] , a long-term estimate of object motion is obtained using a cluster-based technique to learn motion patterns.  ... 
doi:10.1109/tits.2007.903444 fatcat:sp732jpbpzgcbp6krh57kyeqga

Understanding Human Avoidance Behavior: Interaction-Aware Decision Making Based on Game Theory

Annemarie Turnwald, Daniel Althoff, Dirk Wollherr, Martin Buss
2016 International Journal of Social Robotics  
Therefore, we use the theory of Nash equilibria in static and dynamic games where different cost functions from literature rate the payoffs of the individual humans.  ...  Most of the recent approaches concentrate on predicting the motions of humans individually and deciding afterwards. Thereby, interactivity is mostly neglected.  ...  Acknowledgments This work was supported in part by the Technische Universität München -Institute for Advanced Study (www.tum-ias.de), funded by the German Excellence Initiative and in part within the ERC  ... 
doi:10.1007/s12369-016-0342-2 fatcat:3wtksj4v6vf3xceepqysoout5q
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