People tracking in surveillance applications

Fuentes, Luis M.; Velastín, Sergio A.

doi:10.1016/j.imavis.2005.06.006

Cited by 106 publications

(50 citation statements)

References 11 publications

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“…Key techniques found in most people tracking approaches are Kalman filters [5], [7], [8], particle filters [15], [19], and HMMs [2]. To tackle the data association problem, approaches rely on nearest neighbor techniques [15], the Hungarian method [3], multi-hypothesis data association trackers [1], probabilistic data association filters [12], or its joint variant called JPDAFs [2], [17].…”

Section: Related Workmentioning

confidence: 99%

Accurate human motion capture in large areas by combining IMU- and laser-based people tracking

Ziegler

Kretzschmar

Stachniss

et al. 2011

2011 IEEE/RSJ International Conference on Intelligent Robots and Systems

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Abstract-A large number of applications use motion capture systems to track the location and the body posture of people. For instance, the movie industry captures actors to animate virtual characters that perform stunts. Today's tracking systems either operate with statically mounted cameras and thus can be used in confined areas only or rely on inertial sensors that allow for free and large-scale motion but suffer from drift in the pose estimate. This paper presents a novel tracking approach that aims to provide globally aligned full body posture estimates by combining a mobile robot and an inertial motion capture system. In our approach, a mobile robot equipped with a laser scanner is used to anchor the pose estimates of a person given a map of the environment. It uses a particle filter to globally localize a person wearing a motion capture suit and to robustly track the person's position. To obtain a smooth and globally aligned trajectory of the person, we solve a least squares optimization problem formulated from the motion capture suite and tracking data. Our approach has been implemented on a real robot and exhaustively tested. As the experimental evaluation shows, our system is able to provide locally precise and globally aligned estimates of the person's full body posture.

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Section: Related Workmentioning

confidence: 99%

Accurate human motion capture in large areas by combining IMU- and laser-based people tracking

Ziegler

Kretzschmar

Stachniss

et al. 2011

2011 IEEE/RSJ International Conference on Intelligent Robots and Systems

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“…There are different tracking techniques (region-based, contour-based, feature-based and modelbased) depending on the blob characteristic they are based on. o Region-based tracking [5,10] algorithms track the objects frame-by-frame according to variations of moving image regions detected, typically, by subtracting a dynamic background from the current image. Once the moving regions (e.g.…”

Section: Object Trackingmentioning

confidence: 99%

Security and safety assessment for cultural heritage: enhancing security profiles by wireless video-surveillance

Mondini¹,

Olivero²,

Scopigno³

et al. 2007

WIT Transactions on the Built Environment, Vol 94

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Museums, monuments, picture galleries and works of art represent major assets that need security and safety measures against both anthropic (thefts, vandalism, terrorism) and environmental threats. On behalf of the Compagnia di San Paolo, SiTI designed an assessment tool to score security and safety levels of cultural/artistic site. The project, called "Security and Safety Assessment of Cultural Heritage" (SESASS), provides a "protocol" to evaluate security and safety profiles through a process involving checklists in all relevant areas.The lack of a robust video-surveillance system clearly emerged as the most frequent weakness of a number of assessments: as a fact, the ability to recognize (and classify) objects, persons, human activities and behaviours "automatically", managing alarms criteria, is fundamental to (help) perform security tasks in a scalable way, overcoming typical limitations of a "pure human" approach. For this reason SiTI and ISMB decided to jointly focus on video-surveillance of cultural heritage, taking into account both technological aspects and organisational requirements (operative procedures). In this paper both the available technological solutions and the involved organizational and legal aspects are shortly overviewed.

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“…It also has applications in surveillance in ATMs, stores, banks, different surveillance [1], [2] and security system [3], [4]. Apart from surveillance applications, it is also used to analyze human movements, an active research field aimed at designing products for the biomedical industry.…”

Section: Introductionmentioning

confidence: 99%

Occluded Human Tracking and Identification Using Image Annotation

Kumar¹,

Singh²

2012

IJIGSP

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Abstract-The important task of human tracking can be difficult to implement in real world environment as the videos can involve complex scenes, severe occlusion and even moving background. Tracking individual objects in a cluttered scene is an important aspect of surveillance. In addition, the systems should also avoid misclassification which can lead to inaccurate tracking. This paper makes use of an efficient image annotation for human tracking. According to the literature survey, this is the first paper which proposes the application of the image annotation algorithm towards human tracking. The method divides the video scene into multiple layers assigning each layer to the individual object of interest. Since each layer has been assigned to a specific object in the video sequence: (i) we can track and analyse the movement of each object individually (ii) The method is able to reframe from misclassification as each object has been assigned a respective layer. The error incurred by the system with movement from one frame to another is presented with detailed simulations and is compared with the conventional Horn-Schunck alone.

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People tracking in surveillance applications

Cited by 106 publications

References 11 publications

Accurate human motion capture in large areas by combining IMU- and laser-based people tracking

Accurate human motion capture in large areas by combining IMU- and laser-based people tracking

Security and safety assessment for cultural heritage: enhancing security profiles by wireless video-surveillance

Occluded Human Tracking and Identification Using Image Annotation

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