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Digital image contour is rich in image information, many applications are based on accurate tracking of the target contour. Image contour features fuzziness and non-uniformity, so that contour extraction method based on automatic delineation can easily cause inaccurate partition, while manual partition method has poor efficiency and instantaneity. Considering accuracy and efficiency of two-dimensional...
The construction of statistical shape model (SSM) is an important research topic in medical imaging benefited from its robust and nature represent of anatomical structures. Place-march of corresponding landmarks is one of the major factors influencing 3D SSM quality. In this paper, we present a supervised correspondence method for fast building SSM, which includes two main steps, i.e., surface data...
In this paper, we tackle the problem of embedding logos into QR codes. For the ease of visual comprehension by human, it is preferred that the logo should be big, if possible. A logo-embedding scheme, which is referred to as module displacement, is proposed. In module displacement, the data modules that are corrupted by the logo are moved to hide behind those modules that are not corrupted by the...
Detecting infrared pedestrian in outdoor smart video surveillance is always a challenging and difficult problem. Although there have been many methods based on histograms of oriented gradients (HOG) to solve this problem, they would probably fail because of shelter and poor quality of image. To overcome this problem, we propose a robust feature to describe pedestrian which is called entropy-edge weighted...
Traffic flow detection is an important topic in intelligent transportation systems (ITS). At present, most of the traffic flow detection method for nighttime are based on the headlights. However, headlights are not available in bad weather while the vehicle taillights have more stable features such as colors. so that in this paper, a novel method based on vehicle rear lamp and virtual coil is presented...
The number of elderly people living alone have increased over the last years and fall is one of major risks that threaten their lives. Computer vision is one of the accurate solution for fall detection. In this paper, we propose a new method for fall detection using depth camera. This method combines human shape analysis, head tracking and center of mass detection by exploiting the advantages of Kinect...
The motion dynamics and geometric information are considered to be one of the most useful features for infrared (IR) targets recognition. Especially for the exo-atmospheric target, when a target undergoes micro-motion dynamics in the outer space, such as mechanical vibrations or rotations, it would induce amplitude modulations on signature of target projected area along the Line-of-Sight (LOS) of...
A novel technique of segmenting people for counting using adaptive thresholding has been proposed in this paper. The technique uses adaptive thresholding to detect and extract objects of interest and is based on the idea of counting people through a slit window. The technique works well for highly occluded crowded scenes in Masjid-e-Haram during Hajj and Umrah congregation. It is a very diverse problem...
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