Browsing by Author "Mahasak Ketcham"

Now showing 1 - 2 of 2
  • Default Image
    Item
    Human Tracking System from Video Based on Blob Analysis and Object Segmentation Method
    (Institute of Electrical and Electronics Engineers Inc., 2018) Chutiwan Boonarchatong; Mahasak Ketcham
    The research aims to propose a method of video human tracking system. The methodology algorithms are compound with motion vector, optical flow, object segmentation, and Blob analysis. An experiment is set on two situations, which are difference places and difference distance between camera and backgrounds. The results display that the percentage of accuracy has 77.76% in difference 7 areas but the similar distance between camera and human. The other experiment shows that the best distance between camera and human is around 4-30 meters. Therefore, the system would work well when the camera set on the proper area and distance, between camera and human. Thus, the system would contribute to human behavior to suspend the crime with real-Time operating. � 2018 IEEE.
  • Default Image
    Item
    Performance analysis of edge detection algorithms with THEOS satellite images
    (Institute of Electrical and Electronics Engineers Inc., 2017) Chutiwan Boonarchatong; Mahasak Ketcham
    The goal of this research is to find a suitable edge detection algorithm with 4 bands, B1, B2, B3, and B4 of different types of satellite image. In this paper, the dataset is derived from raw satellite images, namely THEOS, of the seashore in the Samut Prakan province, a fruit garden in the Chantaburi province and river line in Ayuthaya provinces. Edge detection performance algorithms are Signal-to-Noise Ratio (PSNR), Mean Square Error (MSE), and edge detection processing time, as well as qualitative human visual perception. Our result shows that Canny algorithm and Laplacian of Gaussian algorithm were the best edge detection algorithm for both qualitatively and quantitatively. Moreover, the different kinds of bands in satellite images illustrated the same result. All of the algorithms consumed similar times. � 2017 IEEE.