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In the paper, we present an efficient algorithm to hide information in MPEG compressed video. In order to utilize the large amount of video streams, and to speed up the process of hiding information, we provide an algorithm that makes use of compressed coefficients to hide information directly. The advantage of the method is that we can make use of DCT coefficients directly without compressing and...
With the proliferation of small-display mobile devices, the video sequences which are captured for normal size screen, may give small-display viewers uncomfortable experience, especially for some kinds of sports videos. We focus on soccer video, and propose to establish a saliency binary map and several character rules to detect the ball and decide the region-of-interest accordingly. Experimental...
For the purpose of improving the performance of table tennis bats, the design of the distribution of rubber pips on table tennis bats contributes to meet the needs of athletes with different technical characteristics. In this paper, we take the pips distribution as focus; carry out the mechanical analysis of ball when hit onto a bat surface from the mechanical point of view. And thereby, we approve...
In this paper, a new optimized method with estimation and competition is proposed for false matching in movement estimation based on vision measurement technology. Firstly, the former vector results processed by optimized phase-correlation are used to estimate current matching. Secondly, the estimation results supply important parameters for competition matching. Furthermore, the method can be processed...
This paper proposes an approach for segmenting single actions from continuously captured motion sequences by examining the properties of active limbs. The target motions are related to sporting and dancing. In particular, two types of human sports motions are examined: 1) boxing and 2) hip hop dance. To segment continuous boxing motion sequences into single punches and combo punches, this paper employs...
In this paper, a predictive block size and search range technique is proposed. This concept is applicable to the fast block matching motion estimation algorithms. In which the size of the blocks and search range is varied, based on the temporal redundancies between the successive frames in the video sequence. This algorithm reduces the computational complexity substantially by maintaining the quality...
A movie may be represented as a three-dimensional (3-D) signal and as a spatiotemporal spectrum in a 3-D frequency domain. Most spatiotemporal spectra lie on a theoretical motion plane when an object moves at a uniform velocity in a movie. By calculating the slope of this plane, we can estimate the velocity of the moving object. However, the spatiotemporal spectrum of a frequency analysis method such...
This paper describes a particle filter based approach for estimating the ground plane from an image sequence. Based on a Bayesian framework, the particle filter provides a robust estimation of the plane parameters, since it can handle non-linearities, while allowing a high flexibility for integrating new cues into the system. Furthermore, the different modes of the resulting probability density function...
In this paper we address the problem of recovering object contour in infrared video sequences using active contours and level set methods. We propose an approach for variational segmentation of infrared images containing non-rigid, moving objects. The local regions-of-interest (ROIs) are identified firstly using statistical background-subtraction method. While the initialization of background model...
Swipe fingerprint sensor, which can acquire a series of sequence fingerprint images, is now widely used in order to reduce the cost of fingerprint image acquisition. This paper presented a new method of sequence fingerprint image mosaic. On the cases that fingerprint swipes in a non-uniform speed, the phase-correlation algorithms are mainly applied to calculate the offset of swiping direction, while...
It is important to protect children from harmful effects of objectionable materials, such as pornography, which are now prevalent on the Internet. In this paper, a new method from the feature porno-sounds recognition point of view is proposed to detect adult video sequences automatically which serves as a complementary approach to the recognition method from image's point of view. To the special of...
This paper proposes an approach to extract motion features from sequences of images of human behavior.A novel algorithm called two-dimensional continuous dynamic programming (2DCDP) is proposed, which can obtain a set of correspondence data for all pixels between sequential images.The 2DCDP algorithm performs segmentation-free detection of objects in an input image from representations in reference...
Trained detectors are the most popular algorithms for the detection of vehicles or pedestrians in video sequences. To speed up the processing time the trained stages build a cascade of classifiers. Thereby the classifiers become more powerful from stage to stage. The most popular classifier for real-time applications is Adaboost applied to rectangular Haar-like features. The processing time of these...
This paper presents a novel approach to obtain reliable and robust time-to-contact estimates from a monocular moving camera observing various obstacles. The algorithm utilizes interest points to measure the relative scale change of an obstacle and applies robust estimation techniques to combine the different measurements into one of three possible motion models. These include a model with constant...
Video texture is a new type of medium which can provide a new video with a continuously varying stream of images from a recorded video. It is created by reordering the input video frames in a way which can be played without any visual discontinuity. Recently, a new method of generating video textures has been proposed. It first apply principal components analysis (PCA) to extract signatures or patterns...
The ldquodead spacerdquo effect produced by the typical minimum bounding rectangle (MBR) based range search decreases the spatial discrimination when the number of trajectories increases and will be getting worse when the average coverage of trajectories enlarged. Consequently, a more straightforward index scheme is proposed to increase the spatial discrimination and keep the response time reasonable...
Recently, classical pairwise Structure From Motion (SfM) techniques have been combined with non-linear global optimization (Bundle Adjustment, BA) over a sliding window to recursively provide camera pose and feature location estimation from long image sequences. Normally called Visual Odometry, these algorithms are nowadays able to estimate with impressive accuracy trajectories of hundreds of meters;...
This paper presents a novel technique for depth map estimation using a sequence of images acquired at varying focus. In depth map estimation noise, illumination variations and types of extracted features significantly affect the performance of a focus measure. This paper proposes the use of SUSAN operator, to extract features, because of its structure preserving noise filtering which plays a pivotal...
Topological visual maps contain different abstraction levels of information that can be used by robots to carry out different activities. We propose here a new hierarchical structure in which landmarks extracted from conventional images are grouped creating a graph of planar regions. The new hierarchy improves previous approaches based on images reducing both, the size of the graph and its complexity...
For the micro-displacement of high precision which wanted in reconstruction technology based on image sequences is difficult to achieve. This paper presents a new super-resolution reconstruction technology based on multi-images of random micro-offset. First of all, a sequence image acquisition device based on template is build. We can use the good optical characteristics of template to make accurate...
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