Bin Liu's research while affiliated with Guizhou Normal University and other places

Publications (3)

Article
For the hiding capacity and image quality of reversible data hiding algorithm based on image interpolation, a high capacity image reversible data hiding algorithm using interpolation and sorting is proposed. Firstly, in order to enhance the quality of the interpolated image, an improved image interpolation method was proposed. Then, the interpolate...
Article
Full-text available
Occlusion is one of the most challenging problems in visual object tracking. Recently, a lot of discriminative methods have been proposed to deal with this problem. For the discriminative methods, it is difficult to select the representative samples for the target template updating. In general, the holistic bounding boxes that contain tracked resul...

Citations

... However, because of the enormous number of neurons and layers, particularly those built for large-scale systems, its computational cost and energy consumption are often high . Other ML methods for signal recognition include CNN [16][17][18][19], RNN [20] and ELM [21][22]. ...
... Danelljan et al. [5] exploit the color attributes of the target object and learn an adaptive correlation filter. The literature [21] proposes a patch-based visual tracker that divides the object and the candidate area into several small blocks evenly and uses the average score of the overall small blocks to determine the optimal candidate, which greatly improves under the occlusion circumstances. The literature [22] proposes an online representative sample selection method to construct an effective observation module that can handle occasional large appearance changes or severe occlusion. ...