Fuzzy Motion Adaptive Algorithm for Video De-interlacing

Brox, Piedad; Baturone, I.; Sánchez-Solano, Santiago; Gutiérrez-Ríos, J.; Fernández-Hernández, F.

doi:10.1007/11893004_47

Cited by 3 publications

(1 citation statement)

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“…A binary threshold filter is then applied to the subframe (Figure 3(d)). The presence of motion is defined as a sufficient difference in pixel luminance values between two consecutive subframes [54]. In this difference image, white pixels indicate the presence of motion.…”

Section: Upper-limb Motion Detection Andmentioning

confidence: 99%

Toward Monitoring and Increasing Exercise Adherence in Older Adults by Robotic Intervention: A Proof of Concept Study

Gadde

Kharrazi

Patel

et al. 2011

Journal of Robotics

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Socially assistive robots have the potential to improve the quality of life of older adults by encouraging and guiding their performance of rehabilitation exercises while offering cognitive stimulation and companionship. This study focuses on the early stages of developing and testing an interactive personal trainer robot to monitor and increase exercise adherence in older adults. The robot physically demonstrates exercises for the user to follow and monitors the user's progress using a vision-processing unit that detects face and hand movements. When the user successfully completes a move, the robot gives positive feedback and begins the next repetition. The results of usability testing with 10 participants support the feasibility of this approach. Further extensions are planned to evaluate a complete exercise program for improving older adults' physical range of motion in a controlled experiment with three conditions: a personal trainer robot, a personal trainer on-screen character, and a pencil-and-paper exercise plan.

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Section: Upper-limb Motion Detection Andmentioning

confidence: 99%

Toward Monitoring and Increasing Exercise Adherence in Older Adults by Robotic Intervention: A Proof of Concept Study

Gadde

Kharrazi

Patel

et al. 2011

Journal of Robotics

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A Fuzzy Motion Adaptive De-interlacing Algorithm Capable of Detecting Field Repetition Patterns

Brox

Baturone

Sánchez-Solano

2007

2007 IEEE International Symposium on Intelligent Signal Processing

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A new motion adaptive algorithm for de-interlacing spatial interpolation is more adequate when the level of motion video is proposed in this paper. It employs two fuzzy systems to is high.interpolate the missing lines of the transmission. One fuzzy system Typical motion adaptive algorithms employ a threshold is used to evaluate the motion level at the current pixel, and a second one selects the most adequate temporal interpolation method. The velecto tiis tweensmall anhi level oflmon combination of both systems provides an effective result with a low Selection of this threshold is difficult because usual problems, cost in term of hardware resources. such as the presence of noise, produce wrong decisions. Inherently, transition between small and high motion is fuzzy Keywords -De-interlacing, Detection of field repetition, Fuzzy logic, rather than crisp and, hence, a fuzzy instead of a crisp motion Motion adaptive detector is more robust. Several algorithms reported in the literature use fuzzy logic to detect motion in de-interlacing I. INTRODUCTION applications [3]-[4]. Van de Ville et al. describe in [3]how heuristic knowledge to detect motion is translated from 'ifAnalogue television broadcast systems in current use (PAL, then' rules expressed linguistically into an algorithm, where the NTSC and SECAM) employ interlacing to halve the bandwidth presence or absence of motion is evaluated in a fuzzy way. This of video signal transmission. Interlacing consists of reducing the is performed by a complex fuzzy system, which uses five input vertico-temporal sampling density by eliminating the odd/even variables since the level of motion is not only evaluated in the lines of the frames in a sequence. Nowadays, the increasing current pixel, but also pixels in the neighborhood are considered. demand of devices that require a progressive scanning format The computational cost of this proposal is considerably high has encouraged the development of de-interlacing algorithms, since it requires 26 maximum operators, 29 minimum operators, These algorithms perform an interpolation to calculate the non-60 defuzzification processes and one division. The output of the transmitted lines trying to minimize the artifacts caused by fuzzy motion detector (Qy(x, y, t)) measures the motion in a pixel interlacing.with the spatial coordinates (x, y) in the field (t) of the sequence. Two main categories are distinguished among de-interlacing The luminance value of the interpolated pixel (X) is given by the algorithms: motion compensation (MC) and non-MC methods following expression:[1]. The first ones are the most advanced de-interlacing X= (1-(x,y,t))IT+ (x,y,tjs algorithms and, particularly, achieve very good results in moving areas of the image. The problem is that they where -y(x, y, t) is a value in the interval [0, 1] instead of a crisp require the calculation of a bi-dimensional motion vector and a value of the conventional motion adaptive algorithms. displacement estimator at each pixel of the field, which means a Gutierrez et al. pro...

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Fuzzy Logic

Bhattacharyya

Dutta

2012

Advances in Civil and Industrial Engineering

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The field of industrial informatics has emerged as one of the key disciplines for the purpose of intelligent management and dissemination of information in today’s world. With the advent of newer technical know-how, the subject of informative intelligence has assumed increasing importance in the industrial arena, thanks to the evolution of data intensive industry. Real world data exhibit varied amount of unquantifiable uncertainty in the information content. Conventional logic is often unable to explain the associated uncertainty and imprecision therein due to the principles of finiteness of observations and quantifying propositions employed. Fuzzy sets and fuzzy logic provide a logical framework for description of the varied amount of ambiguity, uncertainty and imprecision exhibited in real world data under consideration. The resultant fuzzy inference engine and the fuzzy logic control theory supplement the power of the framework in design of robust failsafe real life systems.

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Fuzzy Motion Adaptive Algorithm for Video De-interlacing

Cited by 3 publications

References 3 publications

Toward Monitoring and Increasing Exercise Adherence in Older Adults by Robotic Intervention: A Proof of Concept Study

Toward Monitoring and Increasing Exercise Adherence in Older Adults by Robotic Intervention: A Proof of Concept Study

A Fuzzy Motion Adaptive De-interlacing Algorithm Capable of Detecting Field Repetition Patterns

Fuzzy Logic

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