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.
Moving object detection under a moving camera has long been a very challenging task as the movements of the moving objects and motion caused by the camera are merged in the image sequence. Traditional methods tend to tackle this problem by establishing the matching features across the image frames, or by inferring optical flows. However, both matching features and calculating optical flows are ill-posed...
In this paper we present a novel method that estimates the motion parameters of a monocular camera, which is under unconstrained movement. Different from the traditional works which tackle the problem by establishing motion correspondences, or by calculating optical flows within the image sequence, the proposed method estimates the motion parameters directly by using the information of spatio-temporal...
This paper presents a novel 2D-TO-3D conversion approach from a monoscopic 2D image sequence. We propose a particle filter framework for recursive recovery of point-wise depth from feature correspondences matched through image sequences. We formulate a novel 2D dynamics model for recursive depth estimation with the combination of camera model, structure model and translation model. The proposed method...
This paper presents a novel method for accurate motion detection in dynamic scenes without any prior information about moving object or dynamic scenes. Moving object detection is mainly performed by segmentation of estimated optical flow field, which is calculated by classical Horn Schunck algorithm. Robust ego-motion estimation is performed prior to the optical flow segmentation, which largely decreases...
This paper presents a novel approach to stabilize video sequences based on low-rank matrix decomposition. Compared to previous methods which are based on simplified models, our stabilization system can work in situations where significant depth variations exist in the scenes and the camera undergoes large translational movement. We formulate the stabilized frames as a low-rank matrix. This allows...
An expression can be approximated by a sequence of temporal segments called neutral, onset, offset and apex. However, it is not easy to accurately detect such temporal segments only based on facial features. Some researchers try to temporally segment expression phases with the help of body gesture analysis. The problem of this approach is that the expression temporal phases from face and gesture channels...
Floor plane recovery is a very important issue on mobile robotics. Without the using of specialized hardware as Laser Range Finders (LRF) or some others optical time-of-flight sensors, plane recovery is really a challenge. In this paper we present a robust approach for plane recovery from monocular images coming from an uncalibrated active Pan/Tilt/Zoom (PTZ) camera mounted on a mobile robot platform...
Today, surveillance systems play a key role in highly secured areas. The most common surveillance system, CCTV, produces a continuous image and has various problems such as high cost, need for continuous human intervention, and an inherent difficulty in locating and identifying the intruder due to the presence of obstacles. This paper proposes a scheme to classify a person's movement as intrusive...
Background subtraction is widely used for extracting unusual motion of object of interest in video images. In this paper, we propose a fast and flexible approach of object detection based on an adaptive background subtraction technique that also effectively eliminates shadows based on color constancy principle in RGB color space. This approach can be used for both outdoor and indoor environments....
Road region is an important information for guidance of such objects like robots or autonomous vehicles. The goal of this research is to develop a robust monocular algorithm for extraction of road region from image sequences, captured by camera mounted on the moving objects. The key idea introduced in the first stage of this research is to express the road region in terms of probability density function...
This paper addresses the problem of mapping three dimensional environments from a sequence of images taken by a calibrated camera, and simultaneously generating the camera motion trajectory. This is the Monocular SLAM problem in robotics, and is akin to the Structure from Motion (SFM) problem in computer vision. We present a novel map-aided 6-DOF relative pose estimation method based on a new formulation...
An early and certain fire detection is one of the important issue to keep safe infrastructures. Especially, it becomes an urgent problem in large facilities like port facilities, large factories and power plants, due to its large harmful effect to surrounding areas. In these places, smoke is an important and useful sign to detect the fire robustly even in such open areas. In this study, we present...
This paper presents a novel method for detecting motion regions in image sequences obtained by rapidly moving cameras in fully 3-D scenes. The proposed method mainly focuses on the situations that the backgrounds of the image sequences change rapidly. It has three innovations over existing methods: First, it presents a new initialization method to fast and sparsely gather information of the background...
Exposure Fusion and other HDR techniques generate well-exposed images from a bracketed image sequence while reproducing a large dynamic range that far exceeds the dynamic range of a single exposure. Common to all these techniques is the problem that the smallest movements in the captured images generate artefacts (ghosting) that dramatically affect the quality of the final images. This limits the...
This paper deals with automatic characterization of video capture actions like scale change (zoom) or translation (traveling) in a video sequence. The overall objective is to enhance the scripted quality while capturing a video sequence by professionals or non professionals. Ultimately, the capture actions would use a predefined video template, progressively filled by the cameraman and automatically...
Pedestrian detection is one of the most important techniques for surveillance applications. This paper proposes an effective method for pedestrian detection in low-contrast images. The main characteristic of the proposed method is a two-stage moving object extraction. In the first stage, the watershed algorithm is used to extract multiple regions of moving objects. In the second stage, a novel criterion...
Super-resolution is a very well-studied topic in image enhancement. However, traditional super-resolution techniques are limited by global motion assumption and the accuracy of displacement estimation. In this paper, we are interested in the problem of constructing super-resolution images from high-speed camera sequences with the presence of moving objects. The objective of our research is finding...
Anomaly detection in crowd scene is very important because of more concern with people safety in public place. This paper presents an approach to automatically detect abnormal behavior in crowd scene. For this purpose, instead of tracking every person, KLT corners are extracted as feature points to represent moving objects and tracked by optical flow technique to generate motion vectors, which are...
In this paper we present a novel system for real-time, six degree of freedom visual simultaneous localization and mapping using a stereo camera as the only sensor. The system makes extensive use of parallelism both on the graphics processor and through multiple CPU threads. Working together these threads achieve real-time feature tracking, visual odometry, loop detection and global map correction...
This paper presents an upper body tracking algorithm with a single monocular camera. In order to be suitable for human robot interaction, the designed method should be free to work on the moving camera platform and also can achieve real-time performance. The dimension of human posture model is extremely high, and we hereby focus on the visual extraction of head and arms. A hierarchical structure model...
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.