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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...
In this paper, we focus on the hand tacking with a combinatorial restrained optical flow algorithm instead of the feature point. The movement region of hand is segmented and then searched for the target. A new template is used for hand target recognition on the segmented regions for detecting the ROI. Then optical flow is used to initialize step sizes in a stochastic optimization setting for hand...
A sequence of plane position indicator (PPI) images containing a small moving target is collected using an experimental avian radar surveillance system, which is constructed by modifying a standard marine radar. Smoothing trajectory of a small moving target is separated from the image sequence after background subtraction, clutter suppression, measurements extraction and tracking. The background image...
The first step in lip-reading applications is mouth contour extraction to provide a link between the lip shape and the oral message. In our approach, lip contours are detected in the first image with the two algorithms developed and for static images. On subsequent images of the sequence, several key points (mouth corners, inner and outer middle contour points) are tracked with the Lucas-Kanade method...
Motion-based segmentation of a sequence of images is an essential step for many applications of video analysis, including action recognition and surveillance. This paper introduces a new approach to motion segmentation operating on point trajectories. Each of these trajectories has its own start and end instants, hence its own life-span, depending on the pose and appearance changes of the object it...
This paper presents an Intelligent Surveillance System which can be used in real scenes. Our aim is to establish a reliable background from a complex one via a accurate segmentation method followed by object tracking. The system is able to continue tracking the objects regardless if the objects are overlapping or separate. The system uses the TI TMS320DM6446 Davinci development kit, inputs image sequence...
Two challenge problems in tracking objects in video are object segmentation and matching. Most previous methods can work with some user-specific control. In this paper, we will propose an adaptive algorithm for colour object tracking in video sequences based on background subtraction and image matching by using multiresolution critical point filter (CPFs). Which the background subtraction segment...
Background modelling is a key task in tracking applications. Our interest in this paper is the accurate estimation of static backgrounds in scientific imaging, such as those in automated stem cell tracking. In this paper, an effective background estimation method is proposed. First, the segmentation results are used to remove the foreground objects, then the background is robustly estimated over the...
We examine the problem of segmenting tracked feature point trajectories of multiple moving objects in an image sequence. Using the affine camera model, this motion segmentation problem can be cast as the problem of segmenting samples drawn from a union of linear subspaces. Due to limitations of the tracker, occlusions and the presence of nonrigid objects in the scene, the obtained motion trajectories...
We propose a new image analysis method to segment and track cells in a growing colony. By using an intermediate low-dimension image representation yielded by a reliable over-segmentation process, we combine the advantages of two-steps methods (possibility to check intermediate results) and the power of simultaneous segmentation and tracking algorithms, which are able to use temporal redundancy to...
Moving object segmentation and tracking in video is an important task not only in computer motion detection and tracking, but also in MPEG-4. A new moving object segmentation and tracking method based on the improved PCA is presented in this paper. Firstly, the improved PCA is used to segment the moving object in the original image sequence. In this step, three frames are enough for the segmentation...
A motion-based, correspondence-free technique or human gait recognition in monocular video is presented. We contend that the planar dynamics of a walking person are encoded in a 2D plot consisting of the pairwise image similarities of the sequence of images of the person, and that gait recognition can be achieved via standard pattern classification of these plots. We use background modelling to track...
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