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Harvesting the commercially significant lobster, Nephrops norvegicus, is a multimillion dollar industry in Europe. Stock assessment is essential for maintaining this activity but it is conducted by manually inspecting hours of underwater surveillance videos. To improve this tedious process, we propose an automated procedure. This procedure uses mosaics for detecting the Nephrops, which improves visibility...
We present a method for improving human segmentation results in calibrated, multi-view environments using features derived from both pixel (image) and voxel (volume) space. The main focus of this work is to develop a low-cost, vision-based system for passive activity monitoring of older adults in the home, to capture early signs of illness and functional decline and allow seniors to live independently...
Illumination changes present challenging problems to video surveillance algorithms tasked with identifying and tracking objects. Illumination changes can drastically alter the appearance of a scene, causing truly salient features to be lost amid otherwise stable background. We describe an illumination change compensation method that identifies large, stable, chromatically distinct background features-called...
In this paper, we present a novel scene change detection algorithm for mobile camera platforms. Our approach integrates sparse 3D scene background modelling and dense 2D image background modelling into a unified framework. The 3D scene background modelling identifies inconsistent clusters over time in a set of 3D cloud points as the scene changes. The 2D image background modelling further confirms...
The vehicle shadow's detection and elimination work basically for extracting and tracking the vehicle characteristics, and it also plays a very important role in highway video surveillance and incident detection, affecting the post-processing of video image directly, such as vehicle tracking and speed measurement. On study of Kimmel variational and multi-scale Retinex algorithm to eliminate the vehicle...
The number of video clips available online is growing at a tremendous pace. Meanwhile, the video scenes of pornography, violence and horror permeate the whole Web. Horror videos, whose threat to children's health is no less than pornographic video, are sometimes neglected by existing Web filtering tools. Consequently, an effective horror video filtering tool is necessary for preventing children from...
We present a work in progress on a face biometry system for visually impaired users - the result of a very close interaction among scientists, engineers, and a users group formed by visually impaired and social assistants. The prototype under development implements recent trends of video analysis and follows closely the suggestions given by the working group, with the ambitious goal of developing...
Wireless Capsule Endoscopy (WCE) is a state-of-the-art technology, which allows complete exploration of the small intestine. Despite clinical findings that WCE videos are promising, there still exist several problems. The most crucial problem is that it is a highly time-consuming task for physicians to inspect the entire video. So it is necessary to investigate CAD based automatic diagnosis system...
Cast shadows add additional difficulties on detecting objects because they locally modify image intensity and color. Shadows may appear or disappear in an image when the object, the camera, or both are free to move through a scene. This work evaluates the performance of an object detection method based on boosted HOG paired with three different image representations in outdoor video sequences. We...
Video scene text contains semantic information and thus can contribute significantly to video indexing and summarization. However, most of the previous approaches to detecting scene text from videos experience difficulties in handling texts with various character size and text alignments. In this paper, we propose a novel algorithm of scene text detection and localization in video. Based on our observation...
The use of camera as a biometric sensor is desirable due to its ubiquity and low cost, especially for mobile devices. Palm print is an effective modality in such cases due to its discrimination power, ease of presentation and the scale and size of texture for capture by commodity cameras. However, the unconstrained nature of pose and lighting introduces several challenges in the recognition process...
The most successful approaches to video understanding and video matching use local spatio-temporal features as a sparse representation for video content. Until now, no principled evaluation of these features has been done. We present FeEval, a dataset for the evaluation of such features. For the first time, this dataset allows for a systematic measurement of the stability and the invariance of local...
A novel visual tracking algorithm is proposed in this paper. The algorithm uses pixel-pair features to discriminate between an image patch with an object in the correct position and image patches with an object in an incorrect position. The pixel-pair feature is considered to be robust for the illumination change, and also is robust for partial occlusion when appropriate features are selected in every...
This paper presents a novel disparity map refinement method and vision based surveillance framework for the task of detecting objects of interest in dynamic outdoor environments from two stereo video sequences taken at different times and from different viewing angles by a mobile camera platform. The proposed framework includes several steps, the first of which computes disparity maps of the same...
This paper presents a full motion detection system with post-processing applied to video surveillance. Motion detection is performed based on background subtraction (BGS). Our purpose is to show how an appropriate post-processing improves segmentation result provided by a BGS technique from the literature. First, BGS is performed using the codebook algorithm. Post-processing is then applied on the...
An increasing number of near-duplicate video clips (NDVCs) can be found on websites for video sharing. These NDVCs often infringe copyright or clutter search results. Consequently, a high need exists for techniques that allow identifying NDVCs. NDVC detection techniques represent a video clip with a unique set of features. Conventional video signatures typically make use of low-level visual features...
This paper presents the first investigation into the classification of faces from unconstrained video sequences in natural scenes, i.e., with arbitrary poses, facial expressions, occlusions, illumination conditions and motion blur. To overcome difficulties from individual frames, a novel Bayesian formulation is proposed to estimate the posterior probability of a face trait at a specific time, conditional...
Many algorithms and works have helped in the understanding and development of affective analysis of films. In spite of the progress made up to now, it is still not very precise how the low-level features of movies shape the resulting affective state of the viewer. In this work we evaluate different visual features and investigate how they impact the emotional evaluation under two paradigms: the dimensional...
This paper presents the novel algorithms for a video-based traffic monitoring system. In the video-based traffic monitoring system, the vehicle detection and traffic parameter extraction are the main processes of the traffic monitoring system. The vehicles will be extracted in the first process, and the result will be fed as an input to the next process in order to evaluate the traffic information...
Content-based video retrieval has become a very active research area in the last decade due to the increasing number of video content shared on social networks such as YouTube and DailyMotion. While most of the content-based video retrieval approaches employ low-level visual features for global analysis of the video, this paper proposes an object-based retrieval method as an alternative. The goal...
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