Smart video surveillance: exploring the concept of multiscale spatiotemporal tracking

Hampapur, Arun; Brown, Lisa M.; Connell, Jonathan H.; Ekin, Ahmet; Haas, Norman; Lu, Max; Merkl, Hans; Pankanti, Sharath

doi:10.1109/msp.2005.1406476

Cited by 272 publications

(109 citation statements)

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“…Situation is another important aspect of distributed surveillance systems, which is studied in [7]. The study explores the diverse technologies being used in smart surveillance systems -IBM S3, PeopleVision -for object detection, tracking, classifying, storing and querying.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Existing research in this domain focus on aspects such as common event modeling [4], frameworks and architectures [5], alert classification [6], and situation awareness [7], which will be discussed in the next section. As will be seen that these works although cover a wide range of relevant aspects, no representative research has focused on enterprise-scale alertresponse management using standard enterprise architecture framework.…”

Section: Introductionmentioning

confidence: 99%

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Alert-response for distributed surveillance: DODAF-based services and systems

Shahrah

Hossain

Alghamdi

2014

16th International Conference on Advanced Communication Technology

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Abstract-Over decades of research and development in surveillance domain, multimedia surveillance systems have achieved a great maturity level. However, due to the distribution of surveillance capabilities in current surveillance systems, new challenges on how to manage and coordinate alerts and responses among the distributed parties becomes a challenge. These alerts and responses are the two very important information items in establishing effective collaboration among the distributed smart surveillance systems. This research aims to develop a enterprisescale alert-response management framework based on DODAF 2.0 services and systems model. The proposed framework may be considered as generic information assimilation and coordination framework for different surveillance scenarios.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Alert-response for distributed surveillance: DODAF-based services and systems

Shahrah

Hossain

Alghamdi

2014

16th International Conference on Advanced Communication Technology

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“…The system signals the human operator when an event which poses a threat develops [2]. An IVS systems should be able to keep track of objects in a camera view (identity tracking), and determine where they are (location tracking) and what they are doing in the scene (activity tracking) [4].…”

Section: Related Systemsmentioning

confidence: 99%

Autonomous real-time surveillance system with distributed IP cameras

Appiah

Hunter

Owens

et al. 2009

2009 Third ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC)

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Abstract-An autonomous Internet Protocol (IP) camera based object tracking and behaviour identification system, capable of running in real-time on an embedded system with limited memory and processing power is presented in this paper. The main contribution of this work is the integration of processor intensive image processing algorithms on an embedded platform capable of running at real-time for monitoring the behaviour of pedestrians. The Algorithm Based Object Recognition and Tracking (ABORAT) system architecture presented here was developed on an Intel PXA270-based development board clocked at 520 MHz. The platform was connected to a commercial stationary IP-based camera in a remote monitoring station for intelligent image processing. The system is capable of detecting moving objects and their shadows in a complex environment with varying lighting intensity and moving foliage. Objects moving close to each other are also detected to extract their trajectories which are then fed into an unsupervised neural network for autonomous classification. The novel intelligent video system presented is also capable of performing simple analytic functions such as tracking and generating alerts when objects enter/leave regions or cross tripwires superimposed on live video by the operator.

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“…The new generation video surveillance systems, are concerned with the monitoring of permanent and transients objects within a given area or environment, both indoor and outdoor [2], [3], [4], [5] and typically rely on Computer Vision techniques [6], [7], [8] [9]. By using such techniques, our system is able to automatically interpret the scene, as well as to understand and predict actions and interactions taking place among the observed objects, based on the information acquired by the involved observation camera(s).…”

Section: Introductionmentioning

confidence: 99%