Hierarchical face tracking by using PTZ camera

Funahasahi, T.; Tominaga, Michiaki; Fujiwara, Takayuki; Koshimizu, Hiroyasu

doi:10.1109/afgr.2004.1301570

Cited by 18 publications

(11 citation statements)

References 7 publications

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“…Funahasahi et.al [4] constructed a near real-time face tracking system for capturing the facial image according to using PTZ camera collaborated with a fixed camera. Despite the system could be successful to tracking the face in special situation, the system may not be a great tracker in the existence with object appearance changes and complex background.…”

Section: Introductionmentioning

confidence: 99%

An effective approach for active tracking with a PTZ camera

Zhang

et al. 2010

2010 IEEE International Conference on Robotics and Biomimetics

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The concept of active tracking is presented to simulate the characteristics of human vision in intelligent visual surveillance. The Pan/Tilt/Zoom (PTZ) camera is generally used for active tracking. In this paper, we present a novel and effective approach for active object tracking with a PTZ camera, and construct a near real-time system for indoor and outdoor scenes. The tracking algorithm of our system is based on the feature matching, with the PID control to drive the camera. The feature extracted from moving people is described as a region covariance matrix which combines the spatial and statistical properties of the targets (e.g. coordinates, color, and gradient). Results from indoor and outdoor experiments demonstrate the effectiveness and accuracy of our approach.I.

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Section: Introductionmentioning

confidence: 99%

An effective approach for active tracking with a PTZ camera

Zhang

et al. 2010

2010 IEEE International Conference on Robotics and Biomimetics

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“…Considering tracking and control together, the requirement of real time performance of tracking is strict. Recently, some methods have been proposed in different applications using PTZ camera such as face tracking [10], humans and vehicle tracking [11], driving assistance by tracking obstacles (i.e rear view of target vehicles) with a mounted PTZ camera on car [12]. The face tracking system uses template matching, which is poor in dealing with cluttered background or abrupt changes in object appearance.…”

Section: Introductionmentioning

confidence: 99%

Real time tracking using an active pan-tilt-zoom network camera

Dinh

Medioni

2009

2009 IEEE/RSJ International Conference on Intelligent Robots and Systems

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Abstract-We present here a real time active vision system on a PTZ network camera to track an object of interest. We address two critical issues in this paper. One is the control of the camera through network communication to follow a selected object. The other is to track an arbitrary type of object in real time under conditions of pose, viewpoint and illumination changes. We analyze the difficulties in the control through the network and propose a practical solution for tracking using a PTZ network camera. Moreover, we propose a robust real time tracking approach, which enhances the effectiveness by using complementary features under a two-stage particle filtering framework and a multi-scale mechanism. To improve time performance, the tracking algorithm is implemented as a multi-threaded process in OpenMP. Comparative experiments with state-of-the-art methods demonstrate the efficiency and robustness of our system in various applications such as pedestrian tracking, face tracking, and vehicle tracking.

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“…To address these issues, several methods have been proposed [3], [11], [17], [18]. In [3], Bagdanov et al triggered the system by using OpenCV face detector to find the face of interest and employed KLT [20] features to keep following the object.…”

Section: B Related Workmentioning

confidence: 99%

“…Even though this method guarantees real-time performance, it is not robust enough in practice because of heavy dependence on KLT tracker which is not robust in cluttered background and presence of occlusion. In [11] a hierarchical face tracking algorithm was proposed using one PTZ camera and one fixed camera. When the PTZ camera loses the face, their system locates it from the fixed camera.…”

Section: B Related Workmentioning

confidence: 99%

High resolution face sequences from a PTZ network camera

Dinh¹,

Medioni³

2011

Face and Gesture 2011

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Abstract-We propose here to acquire high resolution sequences of a person's face using a pan-tilt-zoom (PTZ) network camera. This capability should prove helpful in forensic analysis of video sequences as frames containing faces are tagged, and within a frame, windows containing faces can be retrieved. The system starts in pedestrian detector mode, where the lens angle is set widest, and detects people using a pedestrian detector module. The camera then changes to the region of interest (ROI) focusing mode where the parameters are automatically tuned to put the upper body of the detected person, where the face should appear, in the field of view (FOV). Then, in the face detection mode, the face is detected using a face detector module, and the system switches to an active tracking mode consisting a control loop to actively follow the detected face with two different modules: a tracker to track the face in the image, and a camera control module to adjust the camera parameters. During this loop, our tracker learns online the face appearance in multiple views under all condition changes. It runs robustly at 15 fps and is able to reacquire the face of interest after total occlusion or leaving FOV. We compare our tracker with various state-of-the-art tracking methods in terms of precision and running time performance. Extensive experiments in challenging indoor and outdoor conditions are also demonstrated to validate the complete system.

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Hierarchical face tracking by using PTZ camera

Cited by 18 publications

References 7 publications

An effective approach for active tracking with a PTZ camera

An effective approach for active tracking with a PTZ camera

Real time tracking using an active pan-tilt-zoom network camera

High resolution face sequences from a PTZ network camera

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