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A real-time color-independent method for multiple fces tracking

Iraji, R ; Sharif University of Technology | 2007

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  1. Type of Document: Article
  2. DOI: 10.1109/COGINF.2007.4341878
  3. Publisher: 2007
  4. Abstract:
  5. In this paper, we describe a real-time Gradient-based Multiple Faces Tracking (GMFT) algorithm in complex background. In GMFT method first faces are detected by combination of morphological facial feature extraction and gradient-based edge detection methods. After a face is reliably detected, it is tracked over time with a novel real-time algorithm. The algorithm has been implemented and tested under a wide range of real-world conditions. The resulting system runs in real-time on a standard PC, being robust to face scale variations, rotations in depth, and fast changes in subject/camera position. It has consistently provided performance which satisfies the following requirements: 1) able to automatically determine the initial position and size of face(s) and track it/them in complex background; 2) insensitive to face orientation and scale changes; 3) insensitive to pose, lighting, and expression variations. ©2007 IEEE
  6. Keywords:
  7. Chlorine compounds ; Color image processing ; Edge detection ; Gradient methods ; Standards ; Boundary extraction ; Cognitive informatics ; Complex backgrounds ; Edge detection methods ; Expression variations ; Face detection ; Face orientation ; Face tracking ; Facial feature ; Facial feature extraction ; Gradient-based ; Initial position ; International conferences ; Real-time algorithms ; Real-world ; Feature extraction
  8. Source: 6th IEEE International Conference on Cognitive Informatics, ICCI 2007, Lake Tahoe, CA, 6 August 2007 through 8 August 2007 ; October , 2007 , Pages 99-105 ; 1424413273 (ISBN); 9781424413270 (ISBN)
  9. URL: https://ieeexplore.ieee.org/document/4341878