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On the problem of tracking objects in videos, a recent and distinguished approach combining tracking and detection methods is the TLD framework. The detector identifies the object by its supposedly confirmed appearances. The tracker inserts new appearances into the model using apparent motion. Their outcomes are integrated by using the same similarity metric of the detector which, in our point of...
A spectral clustering based video object segmentation technique is proposed in this work. A foreground separation model is introduced which uses thresholding by different features to produce an initial labeling for each frame of the input sequence. We use a combination of color, optical flow, spatial-coordinates, spatiotemporal saliency and the initial foreground labeling to construct an interframe...
Video databases, used for benchmarking and evaluating the performance of new video technologies, should represent the full breadth of consumer video content. The parameterisation of video databases using low-level features has proven to be an effective way of quantifying the diversity within a database. However, without a comprehensive understanding of the importance and relative frequency and of...
Large-scale 3D point clouds have been actively used in many applications with the advent of capturing devices. In this paper, we propose a novel saliency detection algorithm for large-scale colored 3D point clouds which capture real-world scenes. We first voxelize an input point cloud, and then partition voxels into a supervoxel which corresponds to a clusters at the lowest level. We construct the...
Skin prick test is a common diagnosis method for allergic diseases. The test causes a controlled allergic response and provokes a wheal on the skin, whose size and shape change depending on the sensitivity of a patient against a specific allergen. The physical size of the wheal can be estimated from images acquired by digital cameras, which requires segmentation of the wheal from the captured SPT...
In this paper, we propose an accelerated local feature extraction in a reuse scheme for action recognition. Most local features of the previous frame could be reused due to the high correlation between successive frames. Feature extraction is only needed to be applied partially in the current frame. The full-frame features of the current frame are combined by features extracted at different times...
Human detection in RGB-D images is an important yet very challenging task in computer vision. In this paper, we propose a novel human detection approach in RGB-D images, which integrates ROI (region-of-interest) generation, depth-size relationship estimation and a human detector. Our approach has the following advantages: 1) ROI generation and depth-size relationship estimation take full advantage...
In this paper, we propose a novel seed growing framework for interactive image segmentation. We first formulate the seed dependency problem in interactive segmentation and overcome it by expanding the seed automatically. To expand the user-input seed, we generate the seed distance maps based on color distribution dissimilarity, locational prior, and geodesic distance. Using these seed distance maps,...
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