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Zeyang Zhang, Zhongcai Pei, Zhiyong Tang and Fei Gu
Traditional video object segmentation often has low detection speed and inaccurate results due to the jitter caused by the pan-and-tilt or hand-held devices. Deep neural network (DNN) has been widely adopted to address these problems; however, it relies ...
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Alejandro Vaisman and Esteban Zimányi
The interest in mobility data analysis has grown dramatically with the wide availability of devices that track the position of moving objects. Mobility analysis can be applied, for example, to analyze traffic flows. To support mobility analysis, trajecto...
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Praveen Mishra,G.S Prajapati
In this paper, we propose a new tracking method that uses Gaussian combination Model (GCM) and PCA-GCM approach for traffic object tracking. The GCM approach consists of three different Gaussian distributions, the average, standard deviation and weight r...
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Yurong Yang, Huajun Gong, Xinhua Wang and Peng Sun
We propose a robust approach to detecting and tracking moving objects for a naval unmanned aircraft system (UAS) landing on an aircraft carrier. The frame difference algorithm follows a simple principle to achieve real-time tracking, whereas Faster Regio...
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Bors, A G; Pitas, I
Pág. 693 - 702
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