Dr.Qibing Zhu,Dr.Min Huang and Mingqiang Ji,Yu Yang,Yang Zheng gratefully acknowledge the financial support fromthe National Natural Science Foundation of China(Grant no.61772240,61775086);the Fundamental Research Funds for the Central Universities(JUSRP51730A);the Prospective Joint Research Foundation of Jiangsu Province of China(BY2016022-32);sponsored by the 111 Project(B12018).
The heading stage of maize is an important period during its growth and development and indicates the beginning of its pollination.In this regard,an automated method for maize tassel detection is highly important to m...
the National Natural Science Foundation of China(Grant Nos.61572264,61620106008);CAST young talents plan.
Recent advances in supervised salient object detection modeling has resulted in significant performance improvements on benchmark datasets. However, most of the existing salient object detection models assume that at ...
financially supported by National Natural Science Foundation of China(No.61871176);Key Scientific and Technological Project of Science and Technology Department of Henan Province(No.172102210030,182102110099);Key Scientific Research Project Program of Universities of Henan Province(No.18B520025);Open Fund of Key Laboratory of Grain Information Processing and Control(No.KFJJ-2018-102);supported by Collaborative Innovation Center of Grain Storage and Security of Henan Province
Pests detecting is an important research subject in grain storage field.In the past decades,many edge detection methods have been applied to the edge detection of stored grain pests.Although some of them can realize t...
supported by National Natural Science Foundation of China(Nos.61379097,91748131,61771471,U1613213 and 61627808);National Key Research and Development Plan of China(No.2017YFB1300202);Youth Innovation Promotion Association Chinese Academy of Sciences(CAS)(No.2015112)
In this paper, a fast and accurate work-piece detection and measurement algorithm is proposed based on top-down feature extraction and bottom-up saliency estimation. Firstly, a top-down feature extraction method based...
This study was supported by the National High Technology Research and Development Program of China(“863”Program)(No.2013AA10230402);Agricultural science and technology project of Shaanxi Province(No.2016NY-157);Fundamental Research Funds Central Universities(2452016077).
Green apple targets are difficult to identify for having similar color with backgrounds such as leaves.The primary goal of this study was to detect green apples in natural scenes by applying saliency detection and Gau...
Project(50808025)supported by the National Natural Science Foundation of China;Project(20090162110057)supported by the Doctoral Fund of Ministry of Education of China
A method to detect traffic dangers based on visual attention model of sparse sampling was proposed. The hemispherical sparse sampling model was used to decrease the amount of calculation which increases the detection ...
Visual attention mechanisms allow humans to extract relevant and important information from raw input percepts. Many applications in robotics and computer vision have modeled human visual attention mechanisms using a ...
supported by JST Japan-U.S.Research Exchange Program,FY2011-2013.
Researches on visual attention mechanism have revealed that the human visual system (HVS) is sensitive to the higher frequency components where they are distinctive from their surroundings by popping out. These attent...