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This paper presents a novel and unsupervised approach for discovering “sudden” movements in video surveillance videos. The proposed approach automatically detects quick motions in a video, corresponding to any action. A set of possible actions is not required and the proposed method successfully detects potentially alarm-raising actions without training or camera calibration. Moreover, the system...
Digital imaging devices have gained an important role in everyone's life, due to a continuously decreasing price, and of the growing interest on photo sharing through social networks. As a result of the above facts, everyone continuously leaves visual “traces” of his/her presence and life on the Internet, that can constitute precious data for forensic investigators. Digital Image Forensics is the...
In this paper we present a framework for the estimation of the pose of an object in 3D space: from the detection and subsequent recognition from a 3D point-cloud, to tracking in the 2D camera plane. The detection process proposes a way to remove redundant features, which leads to significant computational savings without affecting identification performance. The tracking process introduces a method...
We present an algorithm for reconstruction of dynamic scenes from a video input of an asynchronous stereo-pair. Our method presumes that the timestamps of the frame acquisitions and the intrinsic parameters of the stereo cameras are known, as well as, that the extrinsic parameters can be estimated from static regions of the scene. It computes the 3D trajectory of each individual point by modeling...
Visual animal tracking is a challenging problem generally requiring extended target models, group tracking and handling of clutter and missed detections. Furthermore, the dolphin tracking problem we consider includes basin constraints, shadows, limited field of view and rapidly changing light conditions. We describe the whole pipeline of a solution based on a ceiling-mounted fisheye camera that includes...
We propose a new real-time framework which efficiently reconstructs large-scale scenery by accumulating anisotropic point representations in combination with memory efficient representation of point attributes. The reduced memory footprint allows to store additional point properties that represent the accumulated anisotropic noise of the input range data in the reconstructed scene. We propose an efficient...
This paper presents a people counting system as an application of a people counting method. The method uses depth and vision data captured by a low-cost Kinect sensor. The sensor is placed perpendicular to the ceiling. The perception of the people is achieved by using water filling method. A new approach called as people tracking increases the performance of the people counting system. Some real applications...
This paper examines the use of three different background subtraction algorithms -- Mixture of Gaussians (MOG), Visual Background Extractor (ViBe), and Pixel-Based Adaptive Segmentation (PBAS) -- to detect events of interest within uncontrolled outdoor avian nesting video for the Wildlife@Home project. Many computer vision techniques are unsuccessful in this domain due to low frame-rates and resolution...
The task of large-area visual monitoring for the protection of critical and public infrastructures calls for reliable automated visual surveillance systems. Reliability in this context implies that a high detection accuracy of critical events shall be maintained independent from observation conditions, appearance and pose variations of observed objects (persons, cars), while accomplishing a low-rate...
This paper introduces an approach to background subtraction from auto-exposure surveillance camera. The proposed method adapts the concept of codebook while the original codebook has a limitation in auto-exposure camera. These videos have light adjustment over time and it leads to brightness variation, and the variation could occur globally or locally. The proposed method uses the advantage of YCbCr...
We present an approach to learn relative photometric differences between pairs of cameras, which have partially overlapping fields of views. This is an important problem, especially in appearance based methods to correspondence estimation or object identification in multi-camera systems where grey values observed by different cameras are processed. We model intensity differences among pairs of cameras...
This paper introduces motion focus as a complement to conventional camera focusing. We show how a relative shift between the image sensor and lens of a camera offers the ability to focus on specific motion in a scene. Focusing on motion allows the use of a longer exposure time while preventing motion blur of the object of interest. As a result, the object is captured with a significantly improved...
In this paper we address the problem of water basins surface measurements. This problem is important in regions where coal extraction took place because of it significant impact on the landscape. We propose method based on usage of quadrotor equipped with non-metrical camera. Presented concept include discussion about quadrotor path planning, image tracing, quadrotor state estimation and altitude...
In this paper we introduce an efficient hole-filling algorithm for synthetic generation of microimages that are displayed on an integral imaging monitor. We apply the joint bilateral filter and the median filter to the captured depth map. We introduce in any step of the iterative algorithm with the data from a new Kinect capture. As a result, this algorithm can improve the quality of the depth maps...
This paper presents novel results on temporally consistent depth estimation with the use of noise removal from video. Basing on the prior works, a novel, more advanced noise reduction algorithm is proposed. It uses motion compensation and additional refinement for elimination of artifacts. Also, exhaustive results, both subjective and objective, are presented for commonly known MPEG multiview test...
This paper addresses visual servoing control of quadrotor unmanned aerial vehicles (UAVs) during tracking of a moving ground object. The proposed system uses single monocular camera as an input for feedback control system of quadcopter. The main objectives of the developed control system was to compensate for the noise introduced by the visual sensor and to reduce errors in object tracking by means...
Sensor pattern noise (SPN) has been proved to be an inherent fingerprint of a camera, and it has been broadly used in the fields of image authentication and camera source identification. However, the SPN extracted using current denoising algorithm always contains image content residual, which would significatively influence the accuracy of camera source identification. In this paper, a novel patch-based...
Safety inspection for high-rise structures should be done regularly for follow-up test. However, as it is very dangerous job and direct manual examination takes a lot of time and money, its correct diagnosis is difficult. In this paper, computer vision-based structural safety inspection system is proposed to be designed. The proposed system is an image recognition monitoring system through wireless...
As wireless sensor networks (WSN) are used in seemingly limitless applications with more sensor types available, large sensor data sets are acquired and transmitted for additional processing. These large data sets may cause network traffics slow unnecessarily. The unfiltered transmission of raw data will also consume the WSN batteries inefficiently. In recent years, a few techniques have been developed...
We address the task of restoring RGB images taken under low illumination (e.g. night time), when an aligned near infrared (NIR or simply N) image taken under stronger NIR illumination is available. Such restoration holds the promise that algorithms designed to work under daylight conditions could be used around the clock. Increasingly, RGBN cameras are becoming available, as car cameras tend to include...
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