Color Recognition of Video Object Based on HSV Model

In the presented paper, we proposed a common color model and designed the color judgment method, which is based on the HSV model. This method will translate the RGB values of the points in video images to HSV values, and use HSV values to recognize the color. After that, software of real-time video object recognition was developed based on color features, which is also based on their search of target color identification. Besides, the system is developed by VC based on OpenCV, which has achieved the goal of real-time video motion detection and object color recognition. Finally, the experimental results indicate that the algorithm is accurate and similar to human recognition of the moving objects in videos view, which demonstrates the good performance of the target identification and color judgment.

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Algorithm of Color Detection for Moving Video Objects Based on Mode Matching

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.239-240.1000 ◽

2012 ◽

Vol 239-240 ◽

pp. 1000-1003

Author(s):

Zhao Quan Cai ◽

Hui Hu ◽

Tao Xu ◽

Wei Luo ◽

Yi Cheng He

Keyword(s):

Background Subtraction ◽

Moving Objects ◽

Color Matching ◽

Human Beings ◽

Current Image ◽

Color Recognition ◽

Recognition Ability ◽

Color Identification ◽

The Difference ◽

Background Image

It is urgent to study how to effectively identify color of moving objects from the video in the information era. In this paper, we present the color identification methods for moving objects on fixed camera. One kind of the methods is background subtraction that recognizes the foreground objects by compare the difference of pixel luminance between the current image and the background image at the same coordinates. Another kind is based on the statistics of HSV color and color matching which makes the detection more similar to the color identification of the human beings. According to the experiment results, after the completion of the background modelling, our algorithm of background subtraction, statistics of the HSV color and the color matching have strong color recognition ability on the moving objects of video.

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Priming outside of Awareness and Subsequent Stimulus Identification

Perceptual and Motor Skills ◽

10.2466/pms.1992.75.2.483 ◽

1992 ◽

Vol 75 (2) ◽

pp. 483-493 ◽

Cited By ~ 3

Author(s):

Dorothee Dietrich ◽

John Theios

Keyword(s):

Color Word ◽

Recognition Task ◽

Target Color ◽

Processing Capacity ◽

Semantic Activation ◽

Identification Performance ◽

Color Recognition ◽

Color Identification ◽

Prime Condition ◽

Stimulus Identification

The influence of priming outside of awareness on performance of a color-recognition task was investigated. Using a tachistoscope, a color word that matched (“congruent prime”) or did not match (“incongruent prime”) the target color or a blank prime was followed by a pattern mask and the target color. Identification performance was superior on the blank prime trials to the congruent prime trials, with performance on the incongruent prime trials being the lowest. A subsequent study included a meaningless (XXX) prime condition, and it was found that meaningless primes interfered with target-color identification more than the congruent and blank prime conditions, but less than the incongruent prime condition, suggesting that primes, in addition to producing semantic activation, impose demands on information-processing capacity of the perceptual system.

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A Phlegm Stagnation Monitoring Based on VDS Algorithm

Journal of Healthcare Engineering ◽

10.1155/2020/8714070 ◽

2020 ◽

Vol 2020 ◽

pp. 1-11

Author(s):

Zhiguo Gao ◽

Xin Yu

Keyword(s):

Real Time ◽

Monitoring System ◽

Moving Objects ◽

Recognition Rate ◽

Differential Method ◽

Video Frame ◽

Moving Targets ◽

System A ◽

Video Images ◽

Svm Algorithm

In the nonmedical sputum monitoring system, a practical solution for phlegm stagnation care of patients was proposed. Through the camera, the video images of patients’ laryngeal area were obtained in real time. After processing and analysis on these video frame images, the throat movement area was found out. A three-frame differential method was used to detect the throat moving targets. Anomalies were identified according to the information of moving targets and the proposed algorithm. Warning on the abnormal situation can help nursing personnel to deal with sputum blocking problem more effectively. To monitor the patients’ situation in real time, this paper proposed a VDS algorithm, which extracted the speed characteristics of moving objects and combined with the DTW algorithm and SVM algorithm for sequence image classification. Phlegm stagnation symptoms of patients were identified timely for further medical care. In order to evaluate the effectiveness, our method was compared with the DTW, SVM, CTM, and HMM methods. The experimental results showed that this method had a higher recognition rate and was more practical in a nonmedical monitoring system.

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Real Time Tracking RGB Color Based Kinect

Modern Applied Science ◽

10.5539/mas.v11n3p98 ◽

2017 ◽

Vol 11 (3) ◽

pp. 98

Author(s):

Ahmed Mustafa Taha Alzbier ◽

Hang Cheng

Keyword(s):

Computer Vision ◽

Real Time ◽

Video Processing ◽

Background Subtraction ◽

Moving Objects ◽

Blue Color ◽

The Real ◽

Color Recognition ◽

Kinect Camera ◽

Computer Vision Technology

As the present computer vision technology is growing up, and the multiple RGB color object tracking is considered as one of the important tasks in computer vision and technique that can be used in many applications such as surveillance in a factory production line, event organization, flow control application, analysis and sort by colors and etc. In video processing applications, variants of the background subtraction method are broadly used for the detection of moving objects in video sequences. The background subtraction is the most popular and common approach for motion detection. However , this is paper presents our investigation the first objective of the whole algorithm chain is to find the RGB color within a video. The idea from the beginning was to look for certain specific features of the patches, which would allow distinguishing red, green and blue color objects in the image. In this paper an algorithm is proposed to track the real time moving RGB color objects using kinect camera. We will use a kinect camera to capture the real time video and making an image frame from this video and extracting red, green and blue color .Here image processing is done through MATLAB for color recognition process each color. Our method can tracking accurately at 95% in real-time.

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