Rigid and non-rigid 3D motion estimation from multiview image sequences

Ploskas, N.; Simitopoulos, D.; Tzovaras, Dimitrios; Triantafyllidis, Georgios; Strintzis, Michael G.

doi:10.1016/s0923-5965(02)00131-5

Cited by 5 publications

(2 citation statements)

References 30 publications

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“…Multi-ocular or multi-view image systems normally provides richer and more promising information about the environment and have attracted many researchers to work on them in a wide range of areas, such as object detection, stereovision, reconstruction, recognition, token tracking in image sequences, motion analysis, and intelligent surveillance. Many works about multiocular or multi-view images can be found, such as [34][35][36][37][38][39][40].…”

Section: Theorymentioning

confidence: 99%

A prism-based single-lens stereovision system: From trinocular to multi-ocular

Xiao

Lim

2007

Image and Vision Computing

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Section: Theorymentioning

confidence: 99%

A prism-based single-lens stereovision system: From trinocular to multi-ocular

Xiao

Lim

2007

Image and Vision Computing

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“…In the image-based motion analysis systems, feature extraction and template matching techniques are invested carefully for tracking the object [6][7][8][9][10]. The computation of parameters for feature tracking is more complicated, time consuming and expensive in multiple camera systems [4,[11][12][13]. However, the use of multiple camera systems can provide better quality of accuracy for 3D motion.…”

Section: Introductionmentioning

confidence: 99%

A Low Cost System for 3D Motion Analysis Using Microsoft Kinect

Pham

Kim

Won

2013

AMM

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Many motion analysis systems which have been introduced in the past few years are currently receiving interests from researchers and developers due to their usefulness and wide application capability in the future. However, many of those systems meet with difficulties for the real applications because of high cost for the implementation and less accuracy. This paper introduces a new 3D motion analysis system which can be implemented at a lower cost and acceptable accuracy for various applications. The key component of our new system is the use of the MSK (Microsoft Kinect) sensor system which is equipped with both visual camera and infrared camera. It can provide the color image, the 3D depth image and the 3D skeleton data without wearing any marker device on the human body while it can provide acceptable accuracy in 3D motion trace at low cost. Our system can be exploited for a base framework for various 3D motion-based applications such as physical rehabilitation support, sport motion analysis and biomechanical applications.

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