2009
DOI: 10.1016/j.patrec.2009.04.010
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Face detection for video summary using illumination-compensation and morphological processing

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Cited by 11 publications
(12 citation statements)
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“…To detect a user's eyes, this paper uses the eye map proposed by Hsu [12]. To do that, an input image is first converted to YCbCr color space [13][14], and then color and gray values are used to generate two eye maps. Equation (1) is used to extract a color eye map.…”
Section: Hand Region Segmentationmentioning
confidence: 99%
See 1 more Smart Citation
“…To detect a user's eyes, this paper uses the eye map proposed by Hsu [12]. To do that, an input image is first converted to YCbCr color space [13][14], and then color and gray values are used to generate two eye maps. Equation (1) is used to extract a color eye map.…”
Section: Hand Region Segmentationmentioning
confidence: 99%
“…In [9], the vision-based interface for Tetris game was proposed. The proposed interface was able to recognize a user's hand gesture in the images that were received continuously in real time 14 Copyright ⓒ 2018 SERSC Australia from a camera, and to use the recognized gesture as a game command. Six commands for Tetris game are defined as static gestures which are a user's hand posture and as dynamic gestures which are a user's hand posture and motion.…”
Section: Introductionmentioning
confidence: 99%
“…They didn't consider the head pose and occlusions in their sample sets. Yun et al [6] used the illumination-compensation and morphological processing for face detection. They proposed an empirical modified face ratio from golden ratio.…”
Section: Related Workmentioning
confidence: 99%
“…Therefore, the range y of the image width is from 1 W to 2 W , as shown in Figure 6. We used a gradient image at location y of the histogram with length  from the left and  from the right, as shown in Figure 7, to calculate the following function: …”
Section: Symmetry Axes For Gradient Histogram (Sagh)mentioning
confidence: 99%
“…With the evolution of technology, face recognition technology has become widely used in other areas, like the popular social network, Facebook, where face recognition technology identifies the possible location of a face, and allows the user to label the person in the picture, the user will then be able to know where in the picture that person is. Face recognition technology can be applied to video 1 : if face recognition technology is applied to video, and integrated with the drivers' records, it can assist the police in crime detection by identifying the face locations of people violating the law.…”
Section: Introductionmentioning
confidence: 99%