Kai-Ming Tse

Griffith University, Southport, Queensland, Australia

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Publications (6)0.96 Total impact

  • Conference Proceeding: Face segmentation and facial feature tracking for videophone applications
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    ABSTRACT: In this paper, an efficient foreground/background video coding algorithm is proposed. The algorithm consists of three major parts: an automatic human face detection and facial feature extraction, facial feature tracking, and video coding method based on the properties of the facial feature. In the first part, the location of the human face and its respective facial features are extracted by means of a genetic algorithm and eigenface techniques. After the face region and the facial features have been detected in the first frame, a fast and robust method is proposed for tracking the detected facial features on the subsequent frames. Finally, the location of the facial features are passed to the encoding system for compression. As a result, both the subjective and the objective image quality of the face region are improved
    Intelligent Multimedia, Video and Speech Processing, 2001. Proceedings of 2001 International Symposium on; 02/2001
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    Conference Proceeding: Discrete-time model reduction of sampled systems using an enhanced multiresolutional dynamic genetic algorithm
    Chen-Chien Hsu, Kai-Ming Tse, Wei-Yen Wang
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    ABSTRACT: A framework to automatically generate a reduced-order discrete-time model for the sampled system of a continuous plant preceded by a zero-order hold (ZOH) using an enhanced multi-resolution dynamic genetic algorithm (EMDGA) is proposed in this paper. Chromosomes consisting of the denominator and the numerator parameters of the reduced-order model are coded as a vector with floating-point-type components and searched by the genetic algorithm. Therefore, a stable optimal reduced-order model satisfying the error range specified can be evolutionarily obtained. Because of the use of the multi-resolution dynamic adaptation algorithm and the genetic operators, the convergence rate of the evolution process to search for an optimal reduced-order model can be expedited. Another advantage of this approach is that the reduced discrete-time model evolves based on samples taken directly from the continuous plant, instead of the exact discrete-time model, so that computation time is saved
    Systems, Man, and Cybernetics, 2001 IEEE International Conference on; 02/2001
  • Conference Proceeding: Evolutionary optimization of cubic polynomial joint trajectories for industrial robots
    Kai-Ming Tse, Chi-Hsu Wang
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    ABSTRACT: The conventional approach to find the constrained minimum-time path for robot manipulator employs the trial-and-error procedure, namely the flexible polyhedron search method. In this paper we introduce an alternative approach by applying the genetic search algorithms to schedule the time intervals between each pair of adjacent knots such that the total travelling time is minimized subjected to the physical constraints on joint velocities, accelerations, and jerks. Modified heuristic crossover and a scaled and normed performance measure are applied to the genetic algorithmic searching procedures. Experiments with different combinations of crossover rates and mutation rates are carried out and the corresponding results outweigh the constrained minimum-time obtained from the trial-and-error polyhedron search method
    Systems, Man, and Cybernetics, 1998. 1998 IEEE International Conference on; 11/1998
  • Article: Digital redesign of continuous systems with improved suitability using genetic algorithms
    Chen-Chien Hsu, Kai-Ming Tse, Chi-Hsu Wang
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    ABSTRACT: A genetic-algorithms-based approach which takes the closed-loop system into account to digitally redesign an analogue control system is proposed. In comparison with conventional discretisation methods, the performance of the redesigned system using the resulting digital controller is significantly improved, while the drawback of excessive order of the controller is avoided
    Electronics Letters 08/1997; · 0.96 Impact Factor
  • Conference Proceeding: A new storage scheme for conflict-free vector access
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    ABSTRACT: Investigations into data storage schemes for parallel memory system of vector processing have been mainly focused on low-order interleaved schemes, skewed schemes and XOR schemes. In this paper, a new interleaved storage scheme, namely k-row interleaved scheme, is suggested and investigated. This scheme allocates k consecutive data of a vector onto one memory module sequentially and then the next k consecutive data onto the next memory module. The address mapping functions are devised and the performance of this scheme is evaluated. It is found that this scheme improves the average performance for vector access over the previous schemes. The address generation hardware is also shown to be simple
    TENCON '93. Proceedings. Computer, Communication, Control and Power Engineering.1993 IEEE Region 10 Conference on; 11/1993
  • Conference Proceeding: Transform-based fine-corase vector quantization.
    Kin-Man Lam, Wan-Chi Siu, Kai-Ming Tse
    01/1993

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Institutions

  • 1998
    • Griffith University
      Southport, Queensland, Australia