Target tracking based on enhanced Flock of Tracker and deep learning

	Target tracking based on enhanced Flock of Tracker and deep learning
	Cheng, S.; Y.-G. Cao; J.-X. Sun; L.-R. Zhao; G.-W. Liu and G.-L. Han
	2015
发表期刊	Dianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology
卷号	37 期号:7 页码:1646-1653
摘要	To solve the problem that the tracking algorithm often leads to drift and failure based on the appearance model and traditional machine learning, a tracking algorithm is proposed based on the enhanced Flock of Tracker (FoT) and deep learning under the Tracking-Learning-Detection (TLD) framework. The target is predicted and tracked by the FoT, the cascaded predictor is added to improve the precision of the local tracker based on the spatio-temporal context, and the global motion model is evaluated by the speed-up random sample consensus algorithm to improve the accuracy. A deep detector is composed of the stacked denoising autoencoder and Support Vector Machine (SVM), combines with a multi-scale scanning window with global search strategy to detect the possible targets. Each sample is weighted by the weighted P-N learning to improve the precision of the deep detector. Compared with the state-of-the-art trackers, according to the results of experiments on variant challenging image sequences in the complex environment, the proposed algorithm has more accuracy and better robust, especially for the occlusions, the background clutter and so on. , 2015, Science Press. All right reserved.
文章类型	期刊论文
收录类别	EI
文献类型	期刊论文
条目标识符	http://ir.ciomp.ac.cn/handle/181722/55969
专题	中科院长春光机所知识产出
推荐引用方式 GB/T 7714	Cheng, S.,Y.-G. Cao,J.-X. Sun,et al. Target tracking based on enhanced Flock of Tracker and deep learning[J]. Dianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology,2015,37(7):1646-1653.
APA	Cheng, S.,Y.-G. Cao,J.-X. Sun,L.-R. Zhao,&G.-W. Liu and G.-L. Han.(2015).Target tracking based on enhanced Flock of Tracker and deep learning.Dianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology,37(7),1646-1653.
MLA	Cheng, S.,et al."Target tracking based on enhanced Flock of Tracker and deep learning".Dianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology 37.7(2015):1646-1653.

条目包含的文件		下载所有文件
文件名称/大小	文献类型	版本类型	开放类型	使用许可
基于增强群跟踪器和深度学习的目标跟踪.p（2285KB）	期刊论文	作者接受稿	开放获取	CC BY-NC-SA	浏览下载