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An outlier mining based algorithm is presented to detect dim target in sea and sky background infrared image sequences. Firstly, according to the characteristic that dim target intensity is not correlation with background, viewed the target pixels as outliers; and then used an outlier mining algorithm based on local reachability density (lrd) to detect the candidate target pixels; finally, target...
In this paper, a block wise image authentication scheme using a semi-fragile watermark is proposed. The proposed scheme determines integrity of the image, detecting regions suffered some content modifications and altered region can be recovered without the original image. In the proposed scheme, the original image is divided into two regions: Region of interest ROI, which is important region that...
Recently there has been lot of interest in using the gait energy image (GEI) of human walk sequence for individual recognition. Researchers have reported very good recognition rates using both unsupervised and supervised methods for normal walk sequences. However, the performance degrades when there is a variant like change in clothing or carrying a bag. This paper shows that the performance for the...
This paper presents a gradient domain approach for eliminating ghosting artifacts caused by moving objects in panoramic images. In this approach, an eliminating ghosting operation is integrated into a panorama stitching process. For each source image, we pre-stitch it to the panoramic image and perform ghosting detection in the overlapping area. If a ghosting artifact is found, we locate the corresponding...
Uncertainty is one of the major challenges related to the semantic gap in multimedia data description and retrieval. It is due not only to errors and imprecisions in content classification but also to the extended range of user queries. In this paper, an extension of fuzzy conceptual graphs, suitable for handling uncertainty in visual event description and retrieval, is presented. We deal with two...
In this paper, the application of independent component analysis (ICA) for video frame sequence processing is investigated and a novel scheme based on ICA for detecting and locating text in video is proposed. The author analyses the advantage of novel scheme over current scheme, the results of simulation experiment illustrate that analysis is correct and novel scheme is more effective than current...
This paper presents a technique to detect and track multiple humans in a video sequence. Human detection is done using Fast Mean Shift approach. Multiple humans in a video sequence are differentiated on the basis of their color and appearance. The occlusion issue is also addressed in the paper and is removed using the particle filtering and appearance matching techniques. The technique presented for...
The analysis of image acquiesce model is brought forward to the automation examine system in the subject. The results show that thinking form the information science break a new ground for controlling and distinction of complicated system.
Human motion recognition is traditionally approached by either recognizing basic motions from features derived from video input or by interpreting complex motions by applying a high-level hierarchy of motion primitives. The former method is usually limited to rather simple motions while the latter requires human expert knowledge to build up a suitable hierarchy. In this paper we propose a new approach...
In this paper, a novel robust watermarking algorithm is presented in mixed transform domain. The original host image is first decomposed into four sub-bands by Discrete Wavelet Transform (DWT). Then approximate coefficients are relocated by Arnold transform to create a noise-like version and divided into non-overlapping 8 ?? 8 blocks. Each block is Zig-zag scanned and sorted in descending order before...
In image denoising techniques, the state-of-the-art Discrete Cosine Transform (DCT) domain filters manifest good performance of reducing additive Gaussian white noise (AGWN). Two DCT domain filters, i.e., the block-matching three-dimensional (BM3D) DCT filter and the shape-adaptive (SA) DCT filter, have been investigated. However, these DCT domain filters introduce the temporal fluctuation artifact...
An approach to detect moving and standing human from video is proposed in this paper. Human detection from videos is a difficult problem because of motion of human, camera and background. In order to detect moving human, the dense optical flow is calculated by two consecutive frames, to represent the motion of human. Motion based feature is extracted from optical flow field. It not only represents...
Object tracking systems require accurate segmentation of the objects from the background for effective tracking. Motion segmentation or optical flow can be used to segment incoming images. Whilst optical flow allows multiple moving targets to be separated based on their individual velocities, optical flow techniques are prone to errors caused by changing lighting and occlusions, both common in a surveillance...
Graphical models have been shown to provide a natural framework for modelling high level action transition constraints, and to simultaneously segment and recognize a sequence of actions. Spatio-temporal interest points (STIPs) have been proposed as suitable features for action detection. These interest points are typically mapped to a set of codewords, and actions are detected by accumulating the...
Aimed at that there is often a video paragraph of human body's reciprocating motion in the pornographic videos, a novel method of pornographic videos detection is proposed. On the basis of calculating the optical flow field, we extract the characteristics points of the moving target, and classify optical flow direction of these points and get the statistics of them. Then we establish the optical flow...
An algorithm of adaptive deformation estimation of moving object in mean-shift tracking method is developed. Firstly, the differences between object and background in the weight image associated with the target candidate region are analyzed. By their different distributions, the area estimation of the target is converted into the task of image segmentation. The threshold is automatically selected...
This paper proposes a car recognition algorithm based on multiple features of contour. Firstly, canny operator is used to get the edge of the image. Afterwards, image pyramid is used to shrink the image so that the contour will be single-edged and complete. Then, from a point in the contour, travel the whole contour to gain the Fourier descriptors and direction ratio from the traversal sequence. At...
Targets detection methods of infrared image sequences are studied in this paper. Based on analysis of the traditional LBP algorithm, an improved LBP algorithm, called ??-LBP algorithm is proposed. This algorithm, which makes full use of the translational invariability and the rotational invariability of the LBP operator, is able to detect the edge of targets fast even under complicated backgrounds,...
Automatic detection of an unusual event in video sequence has an interesting application in security surveillance. This paper proposed a method to detect a gathering event without tracking individuals by using background subtracted blobs as the event feature and dividing the video frame into blocks. The feature sequences are encoded with hidden Markov model to detect the gathering event. The experimental...
In this paper, we present a new multiple cues fusion algorithm in visual object tracking, which adaptive adjust the confidence scores based on center areas and surround areas defined on confidence maps. Confidence maps are created where each pixel indicates the probability of that pixel belonging to foreground object or scene background. Center areas and surround areas are used to calculate the confidence...
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