Object tracking using a convolutional network and a structured output SVM

Object tracking using a convolutional network and a structured output SVM

Abstract Object tracking has been a challenge in computer vision. In this paper, we present a novel method to model target appearance and combine it with structured output learning for robust online tracking within a tracking-by-detection framework. We take both convolutional features and handcrafte...

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Bibliographic Details
Main Authors: Junwei Li, Xiaolong Zhou, Sixian Chan, Shengyong Chen
Format: Article
Language:English
Published: SpringerOpen 2017-06-01
Series:Computational Visual Media
Subjects:
object tracking
convolutional network
structured learning
feature extraction
Online Access:http://link.springer.com/article/10.1007/s41095-017-0087-3

Internet

http://link.springer.com/article/10.1007/s41095-017-0087-3

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