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the objective of this work is to compute the Time-to-Collision (TTC) of surrounding vehicles of a vehicle using motion information in driving video. The key advantage in this work is the extraction of potential danger without vehicle detection and recognition in prior, but directly from the motion divergence in the video. We analyze the trace expansion both horizontally and vertically condensed in...
We propose a novel approach for the crowd anomaly detection in multiple cameras with non-overlapping and visible views. As we all know that there are some kinds of information hidden in the non-overlapping fields always. In this paper, we will mine time dependence data so that we can analyze the crowd anomaly detection from time dimension's angle. Firstly, we have to preprocess the real scene using...
This paper describes a voice navigational system for the visually impaired which runs on the user's smart-phone as an application and requires no additional expensive or heavy hardware. This system requires just the live video stream from the user's phone camera and an internet connection, and hence can be used on the most basic of smart-phones. The system proposed here identifies obstacles in front...
This paper presents a real-time system for hand gesture classification. The hands are detected using both the depth by the stereo camera and the skin color. The reconstructed trajectory of hands is classified into one of the gesture references.
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...
Vision based simultaneous localization and mapping (SLAM) has recently received much research interest. However, vision based SLAM could be corrupted with the inclusion of moving entities, which makes it hard to operate in dynamic environments. Simultaneous localization, mapping and moving object tracking (SLAMMOT) serves as a solution to deal with moving objects while performing SLAM. The existing...
In facility management, analysis of customer trajectories in office complexes is considered critical. In this paper, we propose a novel approach for the visualization of customer flow in an office complex over a long period of time. We expressed the variation in the trajectories with respect to time by using a mixture model; this was used for the visualization of the trajectory flows. The effectiveness...
Person localization is fundamental in human centered computing, since person should be localized before being actively serviced. This paper proposed a robust approach to localize person based on the geometric constraints in multi-camera environment. The proposed algorithm has several advantages: 1) no assumption on the positions and orientations of cameras except the cameras should have certain common...
This paper presents a tensorial representation of multiple projective cameras with arbitrary curvilinear motions. It enables us to define multilinear relationship of image points derived from non-rigid object motions viewed from multiple cameras with arbitrary curvilinear motions. We show the new multilinear relationship is useful for generating images of non-rigid object motions viewed from cameras...
We propose a method for segmenting an arbitrary number of moving objects using the geometry of 6 points in 2D images to infer motion consistency. This geometry allows us to determine whether or not observations of 6 points over several frames are consistent with a rigid 3D motion. The matching between observations of the 6 points and an estimated model of their configuration in 3D space is quantified...
Current research on visual action/activity analysis has mostly exploited appearance-based static feature descriptions, plus statistics of short-range motion fields. The deliberate ignorance of dense, long-duration motion trajectories as features is largely due to the lack of mature mechanism for efficient extraction and quantitative representation of visual trajectories. In this paper, we propose...
We develop a framework based approach to extract and recognize hand gestures from the video sequence acquired by a dynamic camera, which could be a useful interface between humans and mobile robots. We use Human-Following Local Coordinate (HFLC) System, a very simple and stable method for extracting hand motion trajectories, which is obtained from the located human face and body part. Hand trajectory...
Various optical image stabilizers for reducing camera shake have been developed in many camera manufacturers, however, it has not been known exactly how effective they work for cancellation of the camera shake. We developed a novel system for analyzing behavior of camera shake and evaluating effectiveness of image stabilizers quantitatively. It consists of the custom-made LED display for generating...
The recognition of potentially hazardous situations on road intersections is an indispensable skill of future driver assistance systems. In this context, this study focuses on the task of vehicle tracking in combination with a long-term motion prediction (1-2 s into the future) in a dynamic scenario. A motion-attributed stereo point cloud obtained using computationally efficient feature-based methods...
We present a procedure for egomotion estimation from visual input of a stereo pair of video cameras. The 3D egomotion problem, which has six degrees of freedom in general, is simplified to four dimensions and further decomposed to two two-dimensional subproblems. The decomposition allows us to use a voting strategy to identify the most probable solution, avoiding the random sampling (RANSAC) or other...
In this work, we propose a feedback scheme for simultaneous thermal-visible video registration, sensor fusion, and tracking for online video surveillance applications. The video registration is based on a RANSAC trajectory-to-trajectory matching that estimates an affine transformation matrix that maximizes the corresponding trajectory points and overlapping of foreground thermal and visible pixels...
The paper deals with the issue of action recognition as an application of the new 3D time-of-flight (ToF) camera, exploiting the special ability of the device to measure distances. Segmentation of moving people is straightforward from the distance information and subsequent steps of the processing chain follow in a classical way. We describe the first results on action recognition using ToF camera...
Physical constraints that underly the formation of periodic motions can be effectively used to accurately reconstruct the periodic motion from even single camera views. As shown in our earlier work, this reduces to a problem of geometric inference. In this paper, we focus on periodic motions exhibited by humans, which are generally not perfectly periodic, and explore the suitability of the reconstruction...
To be able to determine the position of a static object in 3D space by means of computer vision, it has to be seen by cameras from at least two different view points. The same applies for measuring the position of a moving object based on images captured at one single time instant. However, if the cameras are not synchronized in time, or if a moving object is not visible in all images, one can not...
This paper presents three methods for hand gesture detection and recognition that can be applied to online video browsing. These methods aim at recognizing hand signs and positions using a single webcam, which can in turn, be used to control a broadband-enabled HDTV. The hand gesture can be trained to suit the user preference. We first provide an analysis of pattern matching, histogram back projection,...
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