Visual Object Tracking Algorithm Based on Deep Denoising Autoencoder over RGB-D Data

Authors

Mingxin Jiang, 1. Faculty of Electronic information Engineering, Huaiyin Institute of Technology, Huaian 223003, China; ;
Zhigeng Pan, 2. Nine D virtual reality research institute, Guangzhou Nine D digital technology co., Ltd. Guangzhou 510623, China; ;3. Digital Media &Interaction Research Center, Hangzhou Normal University, Hangzhou 310012, China; ;
Lanfang Wang, 4. Faculty of Computer and Software Engineering, Huaiyin Institute of Technology, Huaian 223003, China; ;
Taoxin Hu, 5. College of Techer Education, Wenzhou University, Wenzhou 325035, China;

Abstract

Abstract: A visual object tracking algorithm based on cross-modality features deep learning over RGB-D data is proposed. A sparse denoising autoencoder deep learning network is constructed, which can extract cross-modal features of the samples in RGB-D video data. The cross-modal features of the samples are input to the logistic regression classifier, the observation likelihood model is established according to the confidence score of the classifier, and the reasonable state transition model is established. The object tracking results over RGB-D data are obtained using particle filtering algorithm. Experimental results show that the proposed method has strong robustness to abnormal changes. The algorithm can steadily track multiple targets with higher accuracy.

Recommended Citation

Jiang, Mingxin; Pan, Zhigeng; Wang, Lanfang; and Hu, Taoxin (2019) "Visual Object Tracking Algorithm Based on Deep Denoising Autoencoder over RGB-D Data," Journal of System Simulation: Vol. 30: Iss. 11, Article 28.
DOI: 10.16182/j.issn1004731x.joss.201811028
Available at: https://dc-china-simulation.researchcommons.org/journal/vol30/iss11/28

First Page

4276

Revised Date

2018-05-31

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.201811028

Last Page

4283

CLC

TP391

Recommended Citation

Jiang Mingxin, Pan Zhigeng, WangLanfang, Hu Taoxin. Visual Object Tracking Algorithm Based on Deep Denoising Autoencoder over RGB-D Data[J]. Journal of System Simulation, 2018, 30(11): 4276-4283.

Corresponding Author

Taoxin Hu,

DOI

10.16182/j.issn1004731x.joss.201811028