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Case Study [chapter]

Rogerio Feris, Arun Hampapur, Yun Zhai, Russell Bobbitt, Lisa Brown, Daniel Vaquero, Ying-li Tian, Haowei Liu, Ming-Ting Sun
2009 Intelligent Video Surveillance  
in low activity and crowded scenes.  ...  In this case, reliable object detection and tracking are very diffi cult to achieve.  ... 
doi:10.1201/9781439813300-c3 fatcat:oeanm4d5bnasljyzk4bkh4t2y4

Large-Scale Vehicle Detection, Indexing, and Search in Urban Surveillance Videos

Rogerio Schmidt Feris, Behjat Siddiquie, James Petterson, Yun Zhai, Ankur Datta, Lisa M. Brown, Sharath Pankanti
2012 IEEE transactions on multimedia  
We present a novel approach for visual detection and attribute-based search of vehicles in crowded surveillance scenes.  ...  Our method for vehicle detection also explicitly models occlusions and multiple vehicle types (e.g., buses, trucks, SUVs, cars), while requiring very few manual labeling.  ...  VEHICLE DETECTION IN CROWDED SCENES In this section, we describe our approach for automatic vehicle detection in urban scenes, including the training dataset formation, handling of occlusions and multiple  ... 
doi:10.1109/tmm.2011.2170666 fatcat:rk5o2jiavzaihhf4bdjapjm6lu

Understanding Transit Scenes: A Survey on Human Behavior-Recognition Algorithms

J. Candamo, M. Shreve, D.B. Goldgof, D.B. Sapper, R. Kasturi
2010 IEEE transactions on intelligent transportation systems (Print)  
, classification of moving objects, and tracking.  ...  This paper also provides a summary of literature surveys and developments of the core technologies (i.e., low-level processing techniques) used in visual surveillance systems, including motion detection  ...  Kelsey (Hart) and S. Godavarthy and W. Cheng (University of South Florida) for their involvement and support in the completion of this paper.  ... 
doi:10.1109/tits.2009.2030963 fatcat:tiajxro6sbc23p2rdaam2pwyna

Robust Vehicle Detection for Tracking in Highway Surveillance Videos Using Unsupervised Learning

Birgi Tamersoy, J.K. Aggarwal
2009 2009 Sixth IEEE International Conference on Advanced Video and Signal Based Surveillance  
We tested our method with very low-, medium-and high-quality, crowded and very crowded surveillance videos and got detection accuracies ranging between 90% to 96%. 2009 Advanced Video and Signal Based  ...  This paper presents a novel approach to vehicle detection in highway surveillance videos.  ...  Muhittin Gokmen for providing us with the videos.  ... 
doi:10.1109/avss.2009.57 dblp:conf/avss/TamersoyA09 fatcat:yhaisateyjdh3eyeta2yxtdsky

Multimedia Datasets for Anomaly Detection: A Review [article]

Pratibha Kumari, Anterpreet Kaur Bedi, Mukesh Saini
2022 arXiv   pre-print
Additionally, we discuss gaps in the existing dataset and insights for future direction towards developing multimodal anomaly detection datasets.  ...  For more than 1.5 decades, this field has attracted a lot of research attention, and as a result, more and more datasets dedicated to anomalous actions and object detection have been developed.  ...  Meta-Tracking for Video Scene Understanding dataset The Meta-Tracking for Video Scene Understanding dataset [25] was developed in 2013. It is mainly col-Fig. 24 .  ... 
arXiv:2112.05410v3 fatcat:rpq4jz2j55eupo3vcelnyzyqum

Boosting object detection performance in crowded surveillance videos

Rogerio Feris, Ankur Datta, Sharath Pankanti, Ming-Ting Sun
2013 2013 IEEE Workshop on Applications of Computer Vision (WACV)  
We demonstrate our proposed approach on the problem of vehicle detection in crowded surveillance videos, showing that an automatically generated detector significantly outperforms the original general-domain  ...  In this context, a novel confidence measure is proposed for detectors based on a cascade of classifiers, which are frequently adopted for computer vision applications that require real-time processing.  ...  Related Work Various methods have been proposed for object detection in images and videos.  ... 
doi:10.1109/wacv.2013.6475050 dblp:conf/wacv/FerisDPS13 fatcat:hejhmfcdfjgjbfpqfsahwh6tbq

Anomaly Detection using Edge Computing in Video Surveillance System: Review [article]

Devashree R. Patrikar, Mayur Rajram Parate
2021 arXiv   pre-print
Despite technical developments in modern science, abnormal event detection in surveillance video systems is challenging and requires exhaustive human efforts.  ...  In this paper, we surveyed various methodologies developed to detect anomalies in intelligent video surveillance. Firstly, we revisit the surveys on anomaly detection in the last decade.  ...  Various machine learning tools are used for the detection and tracking of human objects in video scenes and to classify the events as normal and abnormal.  ... 
arXiv:2107.02778v2 fatcat:6sxunswr6jdohoob7qt23cw5ue

Video Scene Understanding Using Multi-scale Analysis

Yang Yang, Jingen Liu, Mubarak Shah
2009 2009 IEEE 12th International Conference on Computer Vision  
We propose a novel method for automatically discovering key motion patterns happening in a scene by observing the scene for an extended period.  ...  Our method does not rely on object detection and tracking, and uses low level features, the direction of pixel wise optical flow.  ...  There are very few works have been done based on non-trajectories video scene understanding.  ... 
doi:10.1109/iccv.2009.5459376 dblp:conf/iccv/YangLS09 fatcat:jwgqcvcsnvdupo3omq2ahmbmdy

Detecting Abnormal Activities using Computer Vision in Big Data Framework

In this paper we have shown the comparison of all the techniques and method used in computer vision for the detection of abnormal activities.  ...  This is an important area in the field of research which is driven by wide variety of domains like intelligent video surveillance.  ...  First tracking and the second is non-tracking. In tracking approach the moving object is detected but they can be applied when the very few people are in the scene.  ... 
doi:10.35940/ijitee.j1013.08810s219 fatcat:nidixlsl7nf3zdgq4nfaix3nyq

Large-scale surveillance system: detection and tracking of suspicious motion patterns in crowded traffic scenes

Amar El Maadi, Mohand S. Djouadi
2016 Automatika  
For this purpose, behavior recognition and scene understanding related applications have become more captivating to a significant number of computer vision researchers, particularly when crowded scenes  ...  Non-identified clusters are treated as suspicious and simultaneously tracked over an overlapping camera network for as long as possible.  ...  system: detection and tracking of suspicious motion patterns in crowded traffic scenes A.  ... 
doi:10.7305/automatika.2016.07.881 fatcat:titqppj3pjbmjlg3rvskdgivxa


2013 Journal of Engineering Science and Technology  
One of the areas that are being actively researched is on the abilities of surveillance systems to track multiple objects over time in occluded scenes and to keep a consistent identity for each target  ...  This survey reviews the recent developments in moving object detection and also different techniques and approaches in multiple objects tracking that have been developed by researchers.  ...  the objects (humans and vehicles) in any environment (indoor and outdoor) even in completely occluded and crowded scenes.  ... 
doaj:ccb4ac08b96c4af8aa059b8424a1ae0e fatcat:lbpubq7zmrck5mwtxumumeicxy

A Progress Review of Intelligent CCTV Surveillance Systems

Anthony Davies, Sergio Velastin
2005 2005 IEEE Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications  
TRACKING MOVING OBJECTS: PEOPLE AND VEHICLES [7] A key technique used to identify moving objects in video data streams is to subtract the current frame from an estimate of the background scene, based on  ...  For example, detecting a vehicle at position x 1 at time t 1 and then detecting the same vehicle at position x 2 at time t 2 immediately provides a lower bound for the velocity of travel between these  ... 
doi:10.1109/idaacs.2005.283015 fatcat:gghc4x7ccbcr5gglsqynp6cqty

Semi-supervised intelligent surveillance system for secure environments

C. Fookes, S. Denman, R. Lakemond, D. Ryan, S. Sridharan, M. Piccardi
2010 2010 IEEE International Symposium on Industrial Electronics  
people utilising biometrics and in particular softbiometrics; the monitoring of crowds; and activity recognition.  ...  This paper proposes a semi-supervised intelligent visual surveillance system to exploit the information from multicamera networks for the monitoring of people and vehicles.  ...  ACKNOWLEDGMENT This research was supported by the Australian Government Department of the Prime Minister and Cabinet.  ... 
doi:10.1109/isie.2010.5636922 fatcat:hsuepfx5evbmvir5zv2726jo3e

Intelligent Video Event Detection and Behavior Analysis Research

Xiong Fang
2014 Sensors & Transducers  
This survey summarizes the state-of-the-art of performance evaluation for intelligent video algorithms, especially focuses on the performance evaluation of motion detection and object tracking.  ...  Intelligent video surveillance has been developed rapidly and broadly in daily public security and various civil applications.  ...  places, for the detection, classification, tracking and recording passers, vehicles and other suspicious objects, that can determine whether there is a long wandering, stay, retrograde behavior of pedestrians  ... 
doaj:ad151b48c21f4d4380c2e7f7e3356059 fatcat:rej7jnx4zjapbim3p2ryx4f2fe

Tracking as a Whole: Multi-Target Tracking by Modeling Group Behavior With Sequential Detection

Yuan Yuan, Yuwei Lu, Qi Wang
2017 IEEE transactions on intelligent transportation systems (Print)  
Video-based vehicle detection and tracking is one of the most important components for Intelligent Transportation Systems (ITS).  ...  In order to get a precise detection and tracking result, in this work we propose a novel tracking-by-detection framework.  ...  Particularly, when tracking a crowd of vehicles in the traffic surveillance video, the data association often fails in the aforementioned methods because of partial occlusions and complex interactions  ... 
doi:10.1109/tits.2017.2686871 fatcat:jjziwd4hsnanbm6vtdshmnnxh4
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