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This paper proposes a new person identification method using physiological and behavioral biometrics. Various person recognition systems have been proposed so far, and one of the recently introduced human characteristics for the person identification is gait. Although the shape of one's body has not been considered much as a characteristic, it is closely related to gait and it is difficult to disassociate...
In this contribution a robust approach for the estimation of the camera motion is presented. For this purpose, features from a monocular image sequence are extracted and evaluated so that the three dimensional path of a moving camera can be calculated. The algorithm gives robust results even in the presence of noise and independently moving objects. The two different categories of constraint equations...
Image watermarking has today a growing success in the community of image processing. Many methods were already proposed making it possible to obtain increasingly more powerful algorithms. So, most of insertion schemes in the spatial domain are based on the decomposition of the image to blocs, with similar sizes, in order to insert a sequence of information bits. To reach good performances, content-based...
The algorithm based on KFDA and SVM is proposed. The information of width and angle is extracted from the human motion image sequences. The features of width and angle is merged and reduced by the KPCA. The Low-dimensional gait characteristic is extracted by modified KFDA, which can obtain the best projection direction and enhance the capacity of data classification. Then the support vector machine...
The algorithm based on KPDA and SVM is proposed. Firstly, gait energy image (GEI) and moment gait energy images (MGEI) are combined for expressing objects and features reduction. Then the low-dimensional gait characteristic is extracted by KFDA, which can obtain the best projection direction and enhance the capacity of data classification. Then the support vector machine (SVM) models are trained by...
The context of this study is 3D video. Starting from a sequence of multi-view video plus depth (MVD) data, the proposed quad-based representation takes into account, in a unified manner, different issues such as compactness, compression, and intermediate view synthesis. The representation is obtained into two steps. Firstly, a set of 3D quads is extracted by using a quadtree decomposition of the depth...
We present an approach to key frame extraction for structuring user generated videos on video sharing Websites (e. g. YouTube). Our approach is intended to link existing image search engines to video data. User generated videos are, contrary to professional material, unstructured, do not follow any fixed rule, and their camera work is poor. Furthermore, the coding quality is bad due to low resolution...
Pixel-based and motion vector-based global motion estimation (GME) techniques are evaluated in this paper with an automatic system for camera motion characterization. First, the GME techniques are compared with a frame-by-frame PNSR measurement using five video sequences. The best motion vector-based GME method is then evaluated together with a common and a simplified pixel-based GME technique for...
One key goal of current Computer Vision research activities is to provide robust systems for improving Transport safety through the use of Information Technology. Recent advances allow public environments (such as train stations or, simply, the street) under video surveillance to be modelled by means of the detection, tracking, and identification of the different elements in it (passengers, road,...
This paper presents a method to extract isolated signs from continuous sign language videos. We use sequences that approximately contain the sign that we are interested in and align the sequences to find the exact start and end frames. We compare different feature extraction methods, different alignment methods, and assess the performance of our system on a database from Turkish sign language.
This paper presents a novel multiscale classification likelihood (MCL) estimation method using hierarchical wavelet-domain hidden Markov tree(WDHMT) model. The key idea is that with inter-scale communication and intra-scale interaction of the WDHMT model, we can capture hierarchical classification information of the pixels at the vicinity of the weak boundary. Our framework consists of the following...
To address the multiplicity and copyright issues on file sharing social networks, we propose a fast video copy detection algorithm using the suffix array data structure in this work. The proposed algorithm consists of two steps. In the first step, we extract robust features which are discriminative yet insensitive to various attacks. Specifically, we develop a compact one-dimensional signature based...
Caption text provides valuable information about contents in video sequences. In this paper, an efficient method to locate candidate caption text regions of video directly in the DCT compressed domain is proposed. Candidate text blocks are detected in terms of DCT texture energy. A 3 times 3 median filter is used as spatial constraint to refine the text regions. An adaptive temporal constraint method...
In this paper, we present an adaptive stereo video object segmentation algorithm based on depth and spatio-temporal information. First, the object is extracted from the left channel with a new algorithm, which consists of three steps: depth segmentation, adaptive change detection based on twice frame-difference, and edge modification. Then, an inverse matching operation is proposed for object extraction...
Segmentation of semantic video object planes (VOPpsilas) from video sequence is a key to the standard MPEG-4 with content-based video coding. In our paper, we propose an automatic segmentation algorithm under static background. The algorithm can extract accurate video objects from slow moving video sequences. The initial two coarse masks are first obtained based on frame difference and motion detection,...
A dynamic tracing Algorithms for the detection of industrial sewing machines on images sequences from a high-speed camera is presented. First, feature extraction is completed with the Harris Corner Detection Algorithms based on the change of intensity; Then the prediction of the move tendency of the corners with Extended Kalman Filter is accomplished; By using of the Neighborhood Matching Algorithms...
In this paper, we propose a method for smoke detection in outdoor video sequences. We assume that the camera is mounted on a pan/tilt device.The proposed method is composed of three steps. The first step is to decide whether the camera is moving or not. While the camera is moving, we skip the ensuing steps. Otherwise, the second step is to detect the areas of change in the current input frame against...
Unmanned aerial vehicles (UAVs) are regularly outfitted with payloads that include high resolution surveillance cameras. These surveillance systems have provided the military with the opportunity to monitor battlefields and remote terrain, carryout reconnaissance missions and track targets all from distant ground stations without endangering UAV operators. As with any remote sensing technology there...
Corner matching in sequence images serves as a building block of several important applications of stereo vision. In this paper, we establish the corner correspondence between two images in the presence of intensity variations and motion blur by using a fuzzy theory based similarity measure. The matching approach proposed by us needs to extract set of corner points as candidates from both the frames...
We present a fully automated three-dimensional model-based, real-time capable approach to distinguish six universal facial expressions from visual images of human faces. The face model is fitted to the images of a publicly available data base. From the model parameters two sets of features are computed, person-specific and non-person-specific to estimate the facial expression visible in the current...
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