Initialization of 3D Human Hand Model and Its Applications in Human Hand Tracking

Feng, Zhiquan; Yang, Bo; Zheng, Yanwei; Tang, Haokui; Li, Yang

doi:10.4304/jcp.7.2.419-426

Cited by 5 publications

(1 citation statement)

References 15 publications

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“…Object tracking as an important research area in computer vision and pattern recognition, has many applications, such as: object recognition, video surveillance, traffic monitoring, human-computer interaction, video compression, weapon automatic tracking, etc. [1][2][3].…”

Section: Introductionmentioning

confidence: 99%

Object Tracking via Tensor Kernel Space Projection

Dai¹,

Deng²,

Dong³

et al. 2014

JCP

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Although there has been significant progress in the past decade, object tracking under complex environment is still a very challenging task, due to the irregular changes in object appearance. To alleviate these problems, this research developed an object tracking algorithm via tensor kernel space projection. In the initial stage of tracking, a template matching algorithm was used to obtain a priori images of the appearance of the object. The steps taken were as follows: define the tensor kernel function based on a multi-linear singular value decomposition, view the object appearance color image as tensor data, calculate the kernel matrix for the priori appearance image samples, use KPCA to obtain the projection matrix of the image samples in kernel space, and finally, obtain an optimal estimate of the object state through Bayesian sequence interference. Meanwhile, the projection matrix in kernel space was updated on-line. Experiments on two real video surveillance sequences were conducted to evaluate the proposed algorithm against two classical tracking algorithms both qualitatively and quantitatively. Experimental results demonstrate that the proposed algorithm is robust in handing occlusion and object scale changes.

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Section: Introductionmentioning

confidence: 99%

Object Tracking via Tensor Kernel Space Projection

Dai¹,

Deng²,

Dong³

et al. 2014

JCP

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Visual Attention Distribution and its Application in the Gesture Interaction System

Feng

Huang

et al. 2015

AMM

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Aiming at making the simulation of human visual attention behavior more truly in computer, starting from analyzing operator’s cognitive model, a gesture tracking algorithm is put forward based on the distribution model of visual attention. To begin with, analyzing the change of the operator human eye sight, a visual attention model was built. Secondly, the basic characteristics of visual attention model were studied. Finally, the three Gauss formula is used to describe the model. Experimental results show that the algorithm can effectively improve the speed and tracking accuracy of gesture interaction.

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A Particle Swarm Optimization Algorithm with Local Sparse Representation for Visual Tracking

Cheng¹,

Li²,

Zhou³

et al. 2014

JCP

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Handling appearance variations caused by the occlusion or abrupt motion is a challenging task for visual tracking. In this paper, we propose a novel tracking method that deals with the appearance changes based on sparse representation in a particle swarm optimization (PSO) framework. First, we divide each candidate state into multiple structural patches to cope with the partial occlusions of the object. Once the object is lost, we present an object's recovery scheme by the scale invariant feature transforms (SIFT) correspondence between two frames to reacquire the rough object position. Then the tracking state is searched in the vicinage of the rough object position using the PSO iteration. In addition, an online dictionary updating mechanism is presented to capture the object appearance variations. The object information from the initial frame is never updated in the tracking, while other templates in the dictionary are progressively updated based on the coefficients of templates. Compared with several conventional trackers, the experimental results demonstrate that our approach is more robust in dealing with the occlusions and abrupt motion variations.

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Initialization of 3D Human Hand Model and Its Applications in Human Hand Tracking

Cited by 5 publications

References 15 publications

Object Tracking via Tensor Kernel Space Projection

Object Tracking via Tensor Kernel Space Projection

Visual Attention Distribution and its Application in the Gesture Interaction System

A Particle Swarm Optimization Algorithm with Local Sparse Representation for Visual Tracking

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