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    All-weather thermal-image pedestrian detection method
    4.
    发明授权
    All-weather thermal-image pedestrian detection method 有权

    公开(公告)号：US10198657B2

    公开(公告)日：2019-02-05

    申请号：US15375438

    申请日：2016-12-12

    Applicant: NATIONAL CHUNG SHAN INSTITUTE OF SCIENCE AND TECHNOLOGY

    Inventor： Shih-Shinh Huang ,  Shih-Che Chien ,  Feng-Chia Chang ,  Chien-Hao Hsiao ,  Yu-Sung Hsiao

    IPC: G06K9/00 ,  G06K9/46 ,  G06K9/62 ,  H04N5/33 ,  H04N19/90 ,  H04N19/103 ,  H04N19/136 ,  H04N19/176

    Abstract: An all-weather thermal-image pedestrian detection method includes (a) capturing diurnal thermal images and nocturnal thermal images of a same pedestrian and non-pedestrian object in a same defined block to create a sample database of thermal images, wherein the sample database comprises pedestrian samples and non-pedestrian samples; (b) performing LBP encoding on the pedestrian samples and the non-pedestrian samples, wherein complementary LBP codes in the same defined block are treated as identical LBP codes; (c) expressing the LBP codes in the same defined block as features by a gradient direction histogram (HOG) to obtain feature training samples of the pedestrian samples and the non-pedestrian samples; (d) entering the feature training samples into a SVM to undergo training by Adaboost so as to form a strong classifier; and (e) effectuating pedestrian detection by searching the strong classifiers in thermal images with sliding window technique to detect for presence of pedestrians.

    Image adaptive feature extraction method and application thereof
    5.
    发明授权
    Image adaptive feature extraction method and application thereof 有权

    公开(公告)号：US11295160B2

    公开(公告)日：2022-04-05

    申请号：US16676453

    申请日：2019-11-07

    Applicant: National Chung-Shan Institute of Science and Technology

    Inventor： Shih-Shinh Huang ,  Shih-Che Chien ,  Feng-Chia Chang ,  Yu-Sung Hsiao ,  Chien-Hao Hsiao

    IPC: G06K9/46 ,  G06T7/223

    Abstract: An image adaptive feature extraction method includes dividing an image into a plurality of blocks, performing a feature extraction processing on the plurality of blocks, and obtaining a block feature from each of the plurality of blocks after the feature extraction processing; calculating each block feature by means of a support vector machine (SVM) classifier, wherein each block feature is calculated to obtain a hyperplane normal vector; setting a threshold value, determining the block feature according to the hyperplane normal vector, recording the block as an adaptive feature block when a value of the hyperplane normal vector is higher than the threshold value, and integrating each adaptive feature block to form an adaptive feature image. Because an image adaptive feature extraction process is performed before a pedestrian image detection is calculated, and effective feature data is then selected, computational efficiency is boosted and detection pedestrian error probability is reduced.

    Method of speeding up image detection
    6.
    发明授权
    Method of speeding up image detection 有权

    公开(公告)号：US10262223B2

    公开(公告)日：2019-04-16

    申请号：US15628111

    申请日：2017-06-20

    Applicant: NATIONAL CHUNG SHAN INSTITUTE OF SCIENCE AND TECHNOLOGY

    Inventor： Chun-Wei Hsieh ,  Shih-Che Chien ,  Feng-Chia Chang ,  Chien-Hao Hsiao

    IPC: G06K9/46 ,  G06K9/66 ,  G06K9/32 ,  G06K9/62

    Abstract: A method of speeding up image detection, adapted to increase a speed of detecting a target image and enhance efficiency of image detection, comprises the steps of capturing an image; retrieving a plurality of characteristic points of the image; creating a region of interest (ROI) centered at the characteristic points each; creating a plurality of search point scan windows corresponding to the ROIs, respectively; calculating target hit scores of the characteristic points and the search point scan windows; comparing the target hit scores of the characteristic points and the search point scan windows to obtain an ROI most likely to have a target image; calculating centroid coordinates of the ROI by a centroid shift weight equation; and narrowing a scope of ROI search according to a location of the centroid coordinates and reducing a displacement between the search points.

    Image Adaptive Feature Extraction Method and Application Thereof
    8.
    发明申请
    Image Adaptive Feature Extraction Method and Application Thereof 审中-公开

    公开(公告)号：US20200160088A1

    公开(公告)日：2020-05-21

    申请号：US16676453

    申请日：2019-11-07

    Applicant: National Chung-Shan Institute of Science and Technology

    Inventor： Shih-Shinh Huang ,  Shih-Che Chien ,  Feng-Chia Chang ,  Yu-Sung Hsiao ,  Chien-Hao Hsiao

    IPC: G06K9/46 ,  G06T7/223

    Abstract: An image adaptive feature extraction method includes dividing an image into a plurality of blocks, performing a feature extraction processing on the plurality of blocks, and obtaining a block feature from each of the plurality of blocks after the feature extraction processing; calculating each block feature by means of a support vector machine (SVM) classifier, wherein each block feature is calculated to obtain a hyperplane normal vector; setting a threshold value, determining the block feature according to the hyperplane normal vector, recording the block as an adaptive feature block when a value of the hyperplane normal vector is higher than the threshold value, and integrating each adaptive feature block to form an adaptive feature image. Because an image adaptive feature extraction process is performed before a pedestrian image detection is calculated, and effective feature data is then selected, computational efficiency is boosted and detection pedestrian error probability is reduced.

    METHOD FOR EXTRACTING FEATURES OF A THERMAL IMAGE
    9.
    发明申请
    METHOD FOR EXTRACTING FEATURES OF A THERMAL IMAGE 审中-公开

    公开(公告)号：US20190164005A1

    公开(公告)日：2019-05-30

    申请号：US16059051

    申请日：2018-08-09

    Applicant: National Chung-Shan Institute of Science and Technology

    Inventor： Shih-Shinh Huang ,  Shih-Che Chien ,  Feng-Chia Chang ,  Chien-Hao Hsiao ,  Yu-Sung Hsiao

    IPC: G06K9/46

    Abstract: A method for extracting features of a thermal image is provided. The method includes: reading a thermal image, and dividing the thermal image into a plurality of block images; and extracting a histogram of oriented gradient (HOG) feature histogram from each of the plurality of block images, and transforming the HOG feature histogram of each of the plurality of block images into a symmetric weighting HOG (SW-HOG) feature histogram. The SW-HOG feature histogram is obtained by multiplying a histogram of gradient intensity distribution by a block weighting. The method increases weightings of blocks which cover human contours and reduces weightings of blocks of an internal region of a human appearance through analyzing thermal lightness difference of regions within blocks, to reduce the influence of clothes in the internal region and the influence of the background region.

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