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The detection and tracking of faces and facial features in video sequences is a fundamental and challenging problem in computer vision. This research area has many applications in face identification systems, model-based coding, gaze detection, human-computer interaction, teleconferencing, etc. This work presents a real time system for detection and tracking of facial features in video sequences....
Human motion analysis using artificial vision is an interesting topic in the biomechanical analysis of the human body for rehabilitation routines. The people with motor disorders can achieve better and faster results if a quantitative analysis of patient progress is carried out by precision. Nowadays, there are many systems capable to capture human body movements, however these tools can be invasive,...
We present several algorithms for cell image analysis including microscopy image restoration, cell event detection and cell tracking in a large population. The algorithms are integrated into an automated system capable of quantifying cell proliferation metrics in vitro in real-time. This offers unique opportunities for biological applications such as efficient cell behavior discovery in response to...
Detecting people carrying objects is a commonly formulated problem as a first step to monitor interactions between people and objects. Recent work relies on a precise foreground object segmentation, which is often difficult to achieve in video surveillance sequences due to a bad contrast of the foreground objects with the scene background, abrupt changing light conditions and small camera vibrations...
Illumination changes present challenging problems to video surveillance algorithms tasked with identifying and tracking objects. Illumination changes can drastically alter the appearance of a scene, causing truly salient features to be lost amid otherwise stable background. We describe an illumination change compensation method that identifies large, stable, chromatically distinct background features-called...
Control of shape and position of plasma plays an important role in the EAST Tokamak discharge. Plasma position detection is an important factor to achieve long time steady-state plasma discharge in Tokamak. This paper presents adaptive plasma edge detection and tracking algorithm. The edge of plasma is obtained after correction and fitting of the image data acquired by high speed Charge Coupled Device...
We address the problem of recognizing actions in reallife videos. Space-time interest point-based approaches have been widely prevalent towards solving this problem. In contrast, more spatially extended features such as regions have not been so popular. The reason is, any local region based approach requires the motion flow information for a specific region to be collated temporally. This is challenging...
We present a mobile augmented reality (AR) translation system, using a smartphone's camera and touchscreen, that requires the user to simply tap on the word of interest once in order to produce a translation, presented as an AR overlay. The translation seamlessly replaces the original text in the live camera stream, matching background and foreground colors estimated from the source images. For this...
Recently a data set was collected that includes video data and imaging sonar data in the underwater environment. This data set provides a unique example of a data fusion problem that is not commonly found in the underwater environment. This paper presents the fusion of data from a video camera and an imaging sonar, which is then processed by a target tracking algorithm.
In this paper we present a real-time system for projection of image/video content on a moving objects (human) regions of interest (ROIs) using projector based on object motion detection and tracking using optical camera. We present techniques for correlation camera and projector I/O image/video stream designed to successfully combat different coordinate spaces and we discuss their performance. Dynamic...
Robust visual tracking is a research area that has many important applications. The main challenges include how the target image can be modeled and how this model can be updated. In this paper, we model the target using a covariance descriptor. This descriptor is robust to problems that commonly occur in visual tracking such as pixel-pixel misalignment, pose and illumination changes. We model the...
A methodology for the context-aided-tracking of ground vehicles in remote airborne imagery is presented in which a background model is inferred from hyperspectral imagery. The functional materials in a scene are determined and become a background model. Here, a manual method of forming the model is presented, as well as a novel autonomous method which exploits the emerging class of adaptive multiple-object-spectrometer...
An automatic lips contour detection and tracking using an enhanced snake model and modified H∞ is presented in this paper. For the conventional snakes, the resultant contour would be converged wrongly if the initial snake point is situated far from the lip edges, or with the existence of the tongue and teeth. Consequently, a new external force based on watershed approach is proposed and absorbed into...
In this paper, robust descriptors are extracted to detect video copies generated by complicated transformations. The main contribution of the proposed method lies in three aspects. Firstly, the complicated transformations on video copies are identified and tackled to guarantee the extraction of robust descriptors. Secondly, a motion classification approach is proposed to divide the video into video...
Accurate alignment of electron tomographic images without using embedded gold particles as fiducial markers is still a challenge. Here we propose a new markerless alignment method that employs Scale Invariant Feature Transform features (SIFT) as virtual markers. It differs from other types of feature in a way the sufficient and distinctive information it represents. This characteristic makes the following...
In this paper we present our approach to use a combination of radio frequency identification (RFID) and a wireless camera sensor network to identify and track animals at a zoo. We have developed and installed 25 cameras covering the whole zoo. The cameras are totally autonomous and they are configuring themselves in a wireless ad-hoc network. At strategic locations RFID readers are deployed to identify...
A method to implement virtual mouse through machine vision are proposed. Firstly we present an efficient algorithm based on color to track the movement of fingertips in real time, then we present a set of messages (including elementary fingertip message and simulated mouse message) that are generated according to the result of fingertip tracking, These messages can be used to control the window based...
In this paper, we deal with the technique for detection of the location of markers on characteristic points for motion capture, and adopt the classic LED marker technique. The reason that we adopt this technique is to perform motion capture even in places where dark and light are mixed. For tracking the markers, most on-marker techniques have problems, such as difficulty in distinguishing between...
In object tracking identifying the best feature which discriminates object and background improves the performance. Most of the existing methods do not consider the suitability of such features for the tracker. Here we enhance the discriminative features which elevate the tracker performance. To accommodate object and background variations over time we dynamically update the best feature using a distance...
In this paper we analyze the neural progenitor cells in a time-lapse sequence to find position, shape, motility and ancestor of each cell in the frame. Because of the complex nature of cells, the ability to distinguish a cell from the background of an image for automatic quantification remains a challenging task. By using morphological techniques we are able to make a better selection of blob-like...
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