title: Convolutional Deep Belief Networks for Single-Cell/Object Tracking in Computational Biology and Computer Vision.
abstract: In this paper, we propose deep architecture to dynamically learn the most discriminative features from data for both single-cell and object tracking in computational biology and computer vision. Firstly, the discriminative features are automatically learned via a convolutional deep belief network (CDBN). Secondly, we design a simple yet effective method to transfer features learned from CDBNs on the source tasks for generic purpose to the object tracking tasks using only limited amount of training data. Finally, to alleviate the tracker drifting problem caused by model updating, we jointly consider three different types of positive samples. Extensive experiments validate the robustness and effectiveness of the proposed method.
authors.affiliation: Department of Computer Science and Engineering, Huaqiao University, Xiamen, China.
authors.forename: Bineng
authors.identifier: 0000-0003-3423-1539
authors.initials: B
authors.lastname: Zhong
authors.affiliation: Department of Computer Science and Engineering, Huaqiao University, Xiamen, China.
authors.forename: Shengnan
authors.initials: S
authors.lastname: Pan
authors.affiliation: Department of Computer Science and Engineering, Huaqiao University, Xiamen, China.
authors.forename: Hongbo
authors.initials: H
authors.lastname: Zhang
authors.affiliation: Department of Computer Science and Engineering, Huaqiao University, Xiamen, China.
authors.forename: Tian
authors.initials: T
authors.lastname: Wang
authors.affiliation: Department of Computer Science and Engineering, Huaqiao University, Xiamen, China.
authors.forename: Jixiang
authors.initials: J
authors.lastname: Du
authors.affiliation: Department of Computer Science and Engineering, Huaqiao University, Xiamen, China.
authors.forename: Duansheng
authors.initials: D
authors.lastname: Chen
authors.affiliation: School of Information Science and Technology, Xiamen University, Xiamen, China.
authors.forename: Liujuan
authors.initials: L
authors.lastname: Cao
mesh_terms: D000818:Animals; D058948:Cell Tracking / Q000379:methods*; D003198:Computer Simulation; D003627:Data Interpretation, Statistical; D006801:Humans; D007089:Image Enhancement / Q000379:methods; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D000069550:Machine Learning; D008853:Microscopy / Q000379:methods*; D015233:Models, Statistical; D016571:Neural Networks, Computer; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity