Open Access Journal

ISSN : 2394-2320 (Online)

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

Open Access Journal

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

ISSN : 2394-2320 (Online)

Call For Paper : Vol 11, Issue 08, August 2024

Call for Paper

Vol 11, Issue 08, August 2024

Indexing

VIDEO TRACKING FOR MULTI TASK BY USING HIERARCHICAL FEATURES

Author : N.Latha 1 N.Ritesh 2 N. Pushpalatha 3

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Date of Publication :7th March 2016

Abstract: To learn the hierarchical features for visual object tracking is the capability of handling complicated motion transformations. In this first learned the offline features as robust to diverse motion patterns from the auxiliary video sequences. The hierarchical features are learned into two-layer convolution neural network, which are important for visual object tracking. The target of the video sequence is used to be domain adaption module to learn online adapt with the pre-learned features according to the specific target object. The adaption is containing the both layers of deep learning features and robust to complicated motion transformation. That capture the changes for specific target objects to learn online adapt with pre-learned generic features used to test video sequence. It will be integrate our feature learning algorithm into three methods. They demonstrate that significant improvements and can be achieved by using learned hierarchical features, especially on the video sequences with complicated motion transformations and usually requires a lot of training data to learn deep structure and its parameters.

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