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.
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...
In this paper, a framework for recognition of Bangla ticker text1 from the Bangla news videos is presented. Tesseract OCR [1] has been used for Bangla script recognition. Tesseract OCR gives good results for text recognition in documents. But in case of images and videos, some processing is required beforehand. Approach here is to provide processed images to the Tesseract OCR to get better results...
Decreasing traffic accidents and events are one of the most significant responsibilities for most of the government in the world. Nevertheless, it is hard to precisely predict the traffic condition. In order to understand the real cause of traffic accidents and restore the occurrence of traffic events, a traffic monitor and event analysis mechanism based on 3D video processing techniques is proposed...
Gait Analysis has become a new research field in computer vision. So far, however, contributions to this topic almost exclusively considered the problem of person identification. This study describes an automated algorithm that classifies pig's abnormal gait by utilizing video analysis. The classification algorithm consists of three stages: i) Detection and extraction of the moving pig body and its...
Our research focuses on analysing human activities according to a known behaviorist scenario, in case of noisy and high dimensional collected data. The data come from the monitoring of patients with dementia diseases by wearable cameras. We define a structural model of video recordings based on a Hidden Markov Model. New spatio-temporal features, color features and localization features are proposed...
Monitoring of epileptic patients is usually done by video/EEG-monitoring which is considered as the golden standard. Due to some disadvantages of this method, this method is not feasible to use in long term home monitoring. Video monitoring provides a solution to this problem as it can monitor the patient in a non-contacting way. An algorithm is developed to detect movement epochs in nocturnal datasets...
The risk of sustaining heavy injuries through accidental falls creates a major medical problem for elderly people. This paper conducts a survey of the various automatic techniques and methods proposed to detect falls and anomalies in movements of the elderly, through monitoring of their daily life activities. These methods can be broadly divided into three main categories: 1) Video Analysis Based;...
This paper tackles the problem of image-based indoor location recognition. The context of the present work is activity monitoring using a wearable video camera data. Because application constraints necessitate weak supervision, a semi-supervised approach has been adopted which leverages the large amount of unlabeled images. The proposed method is based on the Bag of Features approach for image description...
A method has been developed to track a region related to respiration process in thermal images. The respiration region of interest (ROI) consisted of the skin area around the tip of the nose. The method was then used as part of a non-contact respiration rate monitoring that determined the skin temperature changes caused by respiration. The ROI was located by the first determining the relevant salient...
The warehouse safekeeping is an important part of the warehouse management system. The warehouse safekeeping management system based on video content analysis is put forward in this paper, which can automatically detect the contrived intrusion, trace of the staff, removal of the goods, the fire and the smoke in the warehouse in time, which can improve the service and intellectualized level of the...
Online video steam data is surging to an unprecedented level. Massive video publishing and sharing impose heavy demands on continuous video near-duplicate detection for many novel video applications. This paper presents an accurate and accelerated system for video near-duplicate detection over continuous video streams. We propose to transform a high-dimensional video stream into a one-dimensional...
This article mentioned an integral projection algorithm basing on narrowing region, and this algorithm can focus face characters from video picture sequence, so it supplies precision guarantee for face pose estimate. This article realized face pose estimate based on face ellipse circle and feature points. The basic thought is that establish the mapping relationship between position parameters and...
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...
This paper proposes a video hashing method for the purpose of digital rights management, media monitoring and tracking the distribution of illegally copied video. The proposed algorithm is applied to temporally representative images of a video. The resulting hashes are found experimentally to be highly robust to a range of attacks including noise, rotation, time shift, and frame dropping.
This paper presents a non-intrusive fatigue detection system based on the video analysis of drivers. The system relies on multiple visual cues to characterize the level of alertness of the driver. The parameters used for detecting fatigue are: eye closure duration measured through eye state information and yawning analyzed through mouth state information. Initially, the face is located through Viola-Jones...
Occlusion in the monitoring video is a problem often encountered in the moving vehicles detection, tracking and identification. In practice, the moving vehicles that are needed to be tracked are often overlapped in the image. As a result, the mistakes in the targets segment and traffic parameters calculation are the problems much more difficult to solve. Generally, the moving target occlusion in video...
The crime in the elevator cage is always a constant concern. Thus, security problem should get more attention. This paper proposes an intelligent video analysis technology for elevator cage abnormality detection in computer vision. By collecting, processing, and analyzing video images in real time, the feature vectors including the variation of foreground pixels, the variation of length and width...
Based on the study of the current video image analysis and process technology, it is proposed a combined model for video imagery moving target tracking and locating method in order to solve the drawbacks of the current video imagery sequence moving target auto-tracking and locating algorithm in terms of common and engineering use. The proposed combined model shall be focusing on three aspects including...
For the mainstream hard cut scene detection algorithm based on the color-histogram difference new criteria are added to increase precision and improve computational efficiency. This approach utilizes additional detection criterion based on spatial distribution of luminance blocks difference during scene cut. Also, in order to improve computational efficiency, time sampling at larger time resolutions...
We propose a method for detecting precursors, such as small rock and/or soil fall, which occur prior to massive slope failure. The key feature of our method is directly recognizing the trajectory of a small collapse using spatiotemporal Gabor filtering. Simulation analysis, where the conditions of the simulation are quantitatively defined, reveals the effectiveness of the proposed method in detecting...
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.