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Author: search.filters.author.Dokthurian, SiripornHas files: No

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    Human height estimation using visual geometry and feature learning
    (2021-01-01)
    Dokthurian, Siriporn
    ;
    Rattanapitak, Wirat
    ;
    Wangsiripitak, Somkiat
    Many existing video surveillance systems use human characteristics like face, height, and gait to identify a person. This paper proposes a human height estimation approach using visual geometry and feature learning that makes an estimate from a video clip of a person. An experiment was conducted to evaluate the performance of the approach. The approach achieved an average percentage final height estimate of 100.59 % (actual height = 100%), better than a previously reported estimate of 98.8% in the literature achieved by another approach. A successful further development of this approach would directly benefit forensic science investigators.
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    Real-Time Vision Based Human Height Measurement Using Sliding Window on Selected Candidates
    (2018-07-02)
    Dokthurian, Siriporn
    ;
    Pluempitiwiriyawej, Charnchai
    ;
    Wangsiripitak, Somkiat
    This paper presents a real-time human height estimation using image sequences obtained from a single calibrated camera. For each image frame, the candidate value of human height is calculated based on the approximated 3D ground plane and 2D positions of human head top and foot bottom. Some candidates whose values do not differ much from the previous height estimate are selected; a sliding window is then applied on an array of those candidate height values; candidate heights bounded inside the sliding window that has the maximum votes and some candidate heights around that window are finally used in final height estimate. The proposed algorithm of sliding window on selected candidate helps achieve the average accuracy of height estimate at 99.05%; it is a 1.30% increase of accuracy when compared to the final height estimate from all candidates. The standard deviation also decreases from 4.26 to 1.58; the proposed method is superior in terms of accuracy and stability.