Proceedings Article10.1109/ICME.2005.1521566
Head Tracking Using Particle Filter with Intensity Gradient and Color Histogram
TL;DR: A method for tracking human head using a particle filter to naturally integrate two complementary cues: intensity gradient and color histogram, which play complementary roles in tracking a human head with free rotation on a cluttered background.
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Abstract: This paper presents a method for tracking human head using a particle filter to naturally integrate two complementary cues: intensity gradient and color histogram. The shape of the head is modeled as an ellipse, along which an intensity gradient is estimated, while the interior appearance is modeled using a color histogram. These two cues play complementary roles in tracking a human head with free rotation on a cluttered background. To evaluate the tracker performance, we test with both synthetic image sequences and real sequences. Experiments show that the tracker is robust to 360-degree rotation of the head on a cluttered background
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Citations
Video-Aided Model-Based Source Separation in Real Reverberant Rooms
TL;DR: This paper proposes a video-aided model-based source separation algorithm for a two-channel reverberant recording in which the sources are assumed static and can produce better time-frequency masks thereby giving improved source estimates.
Simultaneous eye tracking and blink detection with interactive particle filters
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Patent
Object tracker and object tracking method
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- 30 Jul 2008
TL;DR: In this paper, the tracking start-and-stop determining unit 28 of the tracking processing unit 26 determines the starting and stopping of tracking based on predetermined conditions, and during the tracking, the sampling unit 29 creates or eliminates particles using the probability density distribution estimated for an immediately preceding image frame.
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Rough-Set-Theoretic Fuzzy Cues-Based Object Tracking Under Improved Particle Filter Framework
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Probabilistic Multiple Cue Integration for Particle Filter Based Tracking
Chunhua Shen,Anton van den Hengel,Anthony Dick,Mawson Lakes +3 more
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TL;DR: This paper demonstrates how the combination of multiple cue integration and particle filtering results in a robust track- ing method and demonstrates how each cue's weight can be adapted on-line during the tracking procedure.
A stabilized adaptive appearance changes model for 3D head tracking
Z. Zivkovic,F. van der Heijden +1 more
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TL;DR: In this article, a generic geometric model is used for 3D head pose estimation and tracking in monocular image sequences and a simple adaptive appearance changes model that is updated by the measurements from the new images is proposed.
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