Current Issue : October - December Volume : 2013 Issue Number : 4 Articles : 4 Articles
This paper presents a new method for the tracking ofmaneuvering flying vehicles using a deformable contour model in color video\r\nsequences. The proposed approach concentrates on targets with maneuvering motion in sky, which involves fundamental aspect\r\nchange stemmed from 3D rotation of the target or video camera. In order to segment and track the aircraft in a video, at first, the\r\ntarget contour is initialized manually in a key frame, and then it is matched and tracked automatically in the subsequent frames.\r\nGenerally active contour models employ a set of energy functions based on edge, texture, color, and shape features. Afterwards,\r\nobjective function is minimized iteratively to track the target contour. In the proposed algorithm, we employ game of life cellular\r\nautomaton to manage snake pixels� (snaxels�) deformation in each epoch of minimization procedure. Furthermore, to cope with\r\nthe large aspect change of aircraft, a Gaussian model has been taken into account to represent the target color in RGB space. To\r\ncompensate for changes in luminance and chrominance ingredients of the target, the prior distribution function is dynamically\r\nupdated during tracking. The proposed algorithm is evaluated using the collected dataset, and the expected probability of tracking\r\nerror is calculated. Experimental results show positive results for the proposed algorithm....
In the current digital age, the adoption of natural interfaces between humans and machines is increasingly important. This\r\ntrend is particularly significant in the education sector where interactive tools and applications can ease the presentation and\r\ncomprehension of complex concepts, stimulate collaborative work, and improve teaching practices. An important step towards\r\nthis vision, interactive whiteboards are gaining widespread adoption in various levels of education.Nevertheless, these solutions are\r\nusually expensive,making their acceptance slow, especially in countries with more fragile economies. In this context, we present the\r\nlow-cost interactivewhiteboard (LoCoBoard) project, an open-source interactivewhiteboard with low-cost hardware requirements,\r\nusually accessible in our daily lives, for an easy installation: a webcam-equipped computer, a video projector, and an infrared\r\npointing device.The detection software framework offers five different Pointer Location algorithms with support for the Tangible\r\nUser Interface Object protocol and also adapts to support multiple operating systems.We discuss the detailed physical and logical\r\nstructure of LoCoBoard and compare its performance with that of similar systems. We believe that the proposed solution may\r\nrepresent a valuable contribution to ease the access to interactive whiteboards and increase widespread use with obvious benefits....
We present a facial recognition technique based on facial sparse representation. A dictionary is learned from data, and patches\r\nextracted from a face are decomposed in a sparse manner onto this dictionary.We particularly focus on the design of dictionaries\r\nthat play a crucial role in the final identification rates. Applied to various databases and modalities, we show that this approach\r\ngives interesting performances. We propose also a score fusion framework that allows quantifying the saliency classifiers outputs\r\nand merging them according to these saliencies...
We propose visionmeasurement scheme for estimating the distance or size of the object in static scene,which requires single camera\r\nwith 3-axis accelerometer sensor rotating around a fixed axis. First,we formulate the rotationmatrix and translation vector fromone\r\ncoordinate system of the camera to another in terms of the rotation angle, which can be figured out fromthe readouts of the sensor.\r\nSecond, with the camera calibration data and through coordinate system transformation, we propose a method for calculating the\r\norientation and position of the rotation axis relative to camera coordinate system. Finally, given the rotation angle and the images\r\nof the object in static scene at two different positions, one before and the other after camera rotation, the 3D coordinate of the point\r\non the object can be determined. Experimental results show the validity of our method....
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