The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
One basic observation for pedestrian detection in video sequences is that both appearance and motion information are important to model the moving people. Based on this observation, we propose a new kind of features, 3D Haar-like (3DHaar) features. Motivated by the success of Haar-like features in image based face detection and differential-frame based pedestrian detection, we naturally extend this...
A robust video object segmentation algorithm for complex conditions in surveillance systems is proposed in this paper. This algorithm contains an unsupervised K-Means background clustering technique to model the temporal distribution in RGB domain for each spatial position. Based on the proposed background model, the object mask generation process integrates noise reduction, cast shadow cancellation,...
A major problem in metropolitan areas is searching for parking spaces. In this paper, we propose a novel method for parking space detection. Given input video captured by a camera, we can distinguish the empty spaces from the occupied spaces by using an 8-class support vector machine (SVM) classifier with probabilistic outputs. Considering the inter-space correlation, the outputs of the SVM classifier...
Digital images can be forged easily with today's widely available image processing software. In this paper, we describe a passive approach to detect digital forgeries by checking inconsistencies of blocking artifact. Given a digital image, we find that the blocking artifacts introduced during JPEG compression could be used as a "natural authentication code". A blocking artifact measure is...
In this paper, we present a probabilistic algorithm for visual tracking that incorporates robust template matching and incremental sub-space update. There are two template matching methods used in the tracker: one is robust to small perturbation and the other to background clutter. Each method yields a probability of matching. Further, the templates are modeled using mixed probabilities and updated...
Trajectories of moving objects provide crucial clues for video event analysis especially in surveillance applications. In this paper, we study the problem of detecting anomalous events by analyzing the motion trajectories in videos. Different trajectories of the same category may have varying relative velocities, in addition to the variations and noises in location samples; hence the core of the problem...
Video content is always huge by itself with abundant information. Extracting explicit semantic information has been extensively investigated such as object detection, structure analysis and event detection. However, little work has been devoted on the problem of discovering global or inexplicit information from the huge video stream. As an implementation in this topic, this paper proposes a solution...
In the present treatise an image sensor acquiring additional depth information is applied to extend regular computer vision algorithms. The so called photonic mixer device (PMD) basing on the time-of-flight principle can measure the distance between a smart pixel on the image sensor and the object being recorded. Since the resolution of such a sensor is rather low, they are not intended to replace...
This paper presents a novel method for reducing a baseball video segment from one batter to next batter into a more compact pitch-by-pitch video by pitching ball trajectory detection. The pitch-by-pitch video shows the complete pitching and batting process and largely reduces the source video data, making pitching analysis of broadcast baseball sequences an easier task. The proposed method has been...
The analytic hierarchy process (AHP) is a method to help people make a complex decision by analyzing and synthesizing multiple criteria for the decision objective in a hierarchy. We adopt the AHP as a new strategy for the semantic concept detection (SCD) in video so that multiple factors involved in SCD, including multiple modalities and relating concepts, can be hierarchically analyzed and synthesized...
Background modeling is an important approach for motion detection. The background model should adapt to dynamic change of the environment in time and generate background image with no moving foreground. Accordingly, we propose to incorporate the adaptive weight selection mechanism for roughly detected motion regions into the incremental eigen-background method. Comparing with existing works, we originally...
We propose a road sign detection and recognition method using two-stage classification strategy. In the detection phase, geometric characters of road traffic signs, Hough transformation, corner detection, and projection are used to detect the exact position of the road sign in the image under noisy and complicated environment. In the recognition phase, convolution, radial basis function (RBF) neural...
In this paper, we propose an approach for body detection and tracking with a hierarchical and salient-half-body-prior scheme and apply it in real dynamic scenes. The human region is firstly located by an SVM classifier with histogram of oriented gradients (HOG). Two image observations, motion foreground and edge distance map, are then applied for body detection. In detail, the torso part is first...
We present a novel genre-independent SVM framework for detecting scene changes in broadcast video. Our framework works on content from a diverse range of genres by allowing sets of features, extracted from both audio and video streams, to be combined and compared automatically without the use of explicit thresholds. For ground truth, we use hand-labeled video scene boundaries from a wide variety of...
The problem investigated in this paper is the quick identification of free-form 2D objects using a coefficient based indexing technique. We demonstrate that combining implicit polynomial shape descriptors with calibration techniques has the potential to quickly identify images of similar shapes. As a pilot experiment, our approach is evaluated against a small database consisting of 15 images, with...
Object tracking with multiple cameras is a fundamental problem in wide-area surveillance application, but it has difficulties to achieve accurate and stable performance because of disjoint shot areas or initial object identification problems. We propose a novel object tracking method which jointly uses estimated location information of the target derived from a set of Wi-Fi signal strength values...
We propose a fully automatic spliced image detection method based on consistency checking of camera characteristics among different areas in an image. A test image is first segmented into distinct areas. One camera response function (CRF) is estimated from each area using geometric invariants from locally planar irradiance points (LPIPs). To classify a boundary segment between two areas as authentic...
This paper presents an enhanced trajectory-based ball detection and tracking algorithm, which acquires 2.5D ball position with the aid of camera motion recovery (CMR). Informally, CMR enhances the algorithm by obtaining better ball candidates and forming longer ball trajectories via computing 2.5D position of the ball. The algorithm in this paper comprises two phases. In the first phase, we achieve...
This paper presents a high-performance image matching and recognition system for rapid and robust detection, matching and recognition of scene imagery and objects in varied backgrounds. Advanced image processing and pattern recognition technologies provide the system with object distinctiveness, robustness to occlusions, and invariance to scale and geometric distortions. Extensive experiments and...
Automatic detection of commercials embedded in digital video materials is a challenging task. In this paper, a three-phase system of commercial detection is constructed. Firstly, video shots and audio cuts are detected respectively and scene boundaries are refined by fusing the audio and video information simultaneously. Then, a SVM classifier is applied to classifying these shots as program shots...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.