Zobrazeno 1 - 7
of 7
pro vyhledávání: '"李宏胜"'
Publikováno v:
Engineering Mechanics / Gongcheng Lixue; Aug2024, Vol. 41 Issue 8, p68-79, 12p
Publikováno v:
Optik. 126:148-152
In this paper, we present a novel framework of visual tracking based on the edge-color and edge-edge contexts. By employing the non-uniform quantization of the color space to highlight the object, and canny operator and motion detection to gain the o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b898ed7a1b5f9e58c92ff52d58f29686
https://doi.org/10.1016/j.ijleo.2014.08.157
https://doi.org/10.1016/j.ijleo.2014.08.157
Publikováno v:
Chinese Journal of Preventive Veterinary Medicine / Zhongguo Yufang Shouyi Xuebao; May2020, Vol. 42 Issue 5, p521-526, 6p
Publikováno v:
Applied Mechanics and Materials. :20-24
To handle occlusion and accumulation error in tracking procedure, a novel method is proposed. Firstly, the object feature is modeled with kernel based color histogram. Then, mean shift is used to localizing the object with Kalman filter providing ini
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::54153c919c93e97500e21603bb8e3fee
https://doi.org/10.4028/www.scientific.net/amm.117-119.20
https://doi.org/10.4028/www.scientific.net/amm.117-119.20
Publikováno v:
Applied Mechanics and Materials. :1824-1828
A new approach is proposed to detect and track the moving object. The affine motion model and the non-parameter distribution model are utilized to represent the object firstly. Then the motion region of the object is detected by background difference
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8d32e4d0bdbdb0fc8862a09b05405789
https://doi.org/10.4028/www.scientific.net/amm.117-119.1824
https://doi.org/10.4028/www.scientific.net/amm.117-119.1824
Publikováno v:
ICARCV
An adaptive threshold value (ATV) and two-orthogonal-orientation edge correlogram (TOEC) based algorithm is proposed for tracking moving object in real scenarios. The ATV is used to extract the object edges under illumination changes. To improve the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::31ad0b4a18b8d43af0a93a3b0f254b9b
https://doi.org/10.1109/icarcv.2012.6485391
https://doi.org/10.1109/icarcv.2012.6485391