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Citations since 2016
5 Research Items
Integrating multi-feature based on multi-layer features from the convolutional network or based on multiple hand-crafted features has been proved to be an effective way for improving tracking performance. In this work, we investigate how to integrate multi-layer convolutional features with hand-crafted features. Specifically, an adaptive multi-feat...
The performance of tracking task is directly dependent on the appearance features of target object, a robust approach for constructing appearance features is crucial for adaptation the appearance change. To construct an accurate and robust appearance model for visual object tracking, we modify original deep residual learning network architecture an...
Constructing a robust appearance model of the visual object is a crucial task for visual object tracking. Recently, more and more studies combine spatial feature with temporal feature to improve the tracking performance. These methods successfully apply the features from spatial and temporal to address the problem for tracking. This paper presents...
The performance of the tracking task directly depends on target object appearance features. Therefore, a robust method for constructing appearance features is crucial for avoiding tracking failure. The tracking methods based on Convolution Neural Network (CNN) have exhibited excellent performance in the past years. However, the features from each o...