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Shuai Yang, Zhihui Zou, Yingchao Li, Haodong Shi and Qiang Fu
To address the issue of poor tracking accuracy and the low recognition rate for multiple small targets in infrared images caused by uneven image intensity, this paper proposes an accurate tracking algorithm based on optical flow estimation. The algorithm...
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Krzysztof Okarma, Piotr Lech, Darius Andriukaitis, Dangirutis Navikas, Agata Korzelecka-Orkisz, Adam Tanski and Krzysztof Formicki
The optimal water flow in fish breeding tanks is one of the crucial elements necessary for the well-being and proper growth of fish, such as salmon or trout. Considering the round tanks and the uneven distribution of water-flow velocity, ensuring a nearl...
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Wenjun Zhao, Miaolei Deng, Cong Cheng and Dexian Zhang
Object tracking is aimed at tracking a given target that is only specified in the first frame. Due to the rapid movement and the interference of cluttered backgrounds, object tracking is a significant challenging issue in computer vision. This research p...
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Salvatore Rosario Bassolillo, Egidio D?Amato, Immacolata Notaro, Gennaro Ariante, Giuseppe Del Core and Massimiliano Mattei
In recent years the use of Unmanned Aerial Vehicles (UAVs) has considerably grown in the civil sectors, due to their high flexibility of use. Currently, two important key points are making them more and more successful in the civil field, namely the decr...
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Liang Chang, Jixiu Liu, Zui Chen, Jie Bai and Leizheng Shu
In on-orbit services, the relative position and attitude estimation of non-cooperative spacecraft has become the key issues to be solved in many space missions. Because of the lack of prior knowledge about manual marks and the inability to communicate be...
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Maxim Velikanov,Alexandra Anzina,Sergey Lavrushkin,Dmitry Vatolin
Pág. 1 - 7
Occlusions are a set of pixels, which are visible in a single frame of two sequential frames in a video. Finding occlusions is of great importance in the field of computer vision. Precise detection of occlusions will improve the accuracy of many video pr...
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Antoine Chauvet, Yoshihiro Sugaya, Tomo Miyazaki and Shinichiro Omachi
This study proposes a lightweight solution to estimate affine parameters in affine motion compensation. Most of the current approaches start with an initial approximation based on the standard motion estimation, which only estimates the translation param...
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Junhao Cheng, Zhi Wang, Hongyan Zhou, Li Li and Jian Yao
Most Simultaneous Localization and Mapping (SLAM) methods assume that environments are static. Such a strong assumption limits the application of most visual SLAM systems. The dynamic objects will cause many wrong data associations during the SLAM proces...
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Song Wang and Zengfu Wang
The dense optical flow estimation under occlusion is a challenging task. Occlusion may result in ambiguity in optical flow estimation, while accurate occlusion detection can reduce the error. In this paper, we propose a robust optical flow estimation alg...
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Huanan Dong, Ming Wen and Zhouwang Yang
Vehicle speed estimation is an important problem in traffic surveillance. Many existing approaches to this problem are based on camera calibration. Two shortcomings exist for camera calibration-based methods. First, camera calibration methods are sensiti...
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