Titlebook: Artificial Intelligence; Second CCF Internati Kevin Knight,Changshui Zhang,Min-Ling Zhang Conference proceedings 2019 Springer Nature Singa

骂人有污点

Developing Successful Oracle Applications,anges due to deformation, sudden movement, complex background and occlusion. These changes make visual target tracking challenging. In this paper, a target tracking algorithm based on dual residual neural network and kernel correlation filters is proposed, which mainly solves the problems of inaccur

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PLIC

Developing Successful Oracle Applications,e of roads than that of cars. One of the most prominent problems is traffic congestion problem. The prediction of traffic congestion is the key to alleviate traffic congestion. To ensure the real-time performance and accuracy of the traffic congestion prediction, we propose a short-term traffic cong

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值得尊敬

Developing Successful Oracle Applications,wever, there still need to improve the overall tracking capability to counter various tracking issues, including large scale variation, occlusion, and deformation. This paper presents an appealing tracker with robust scale adaptive, which applies the discriminative correlation filter for scale estim

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Developing Successful Oracle Applications,o saliency detection method based on eye-movement guided region matching and local directional patterns (LDP) embedded optical flow is proposed. We use the eye fixation of human beings to match the regions of the adjacent frames to overcome the inaccuracy of the dynamic characteristics constructed b

elucidate

Developing Successful Oracle Applications,ehicles. This paper proposes a novel evaluation method for visual object detection of intelligent vehicles. The traditional evaluation methods are based on each frame of the video and treat all the objects equally. Distinguished from that, the proposed method applies the length of driving trajectory

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