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User behavior recognition in a smart office environment is a challenging research task. Wearable sensors can be used to recognize behaviors, but such sensors could go unworn, making the recognition task unreliable. Cameras are also used to recognize behaviors, but occlusions and unstable lighting conditions reduce such methods’ recognition accuracy. To address these problems, we propose a time-variant...
During the teleoperation of construction machines, it is highly needed to visualize the machine body itself. This is because the operator needs to perform a visual confirmation of the construction machine. In addition, information of crawler parts' shoe slip is indispensable. Therefore, not only the surrounding environment but also the vehicle body are needed to be visualized. This paper proposes...
In this paper, a real-time behavior recognition demo system is proposed. By utilizing the captured skeletons and depth information from multiple Kinect cameras mounted at different locations with different view points, the occluded parts of a player and the ball information in the depth channels can be compensated by another Kinect camera without occlusion situations. Besides, a machine learning process...
The problems of moving object detecting and tracking on UAV (Unmanned Aerial Vehicle) platforms in surveillance operations are addressed, and a robust tracking method for reliably detecting and tracking of foreground moving objects in a dynamically changing environment is proposed. Firstly, using the modified robust local feature detector SURF (Speeded Up Robust Features) which is linear ordering...
Abrupt motion tracking has gained special attention in visual tracking community in the past several years. However, the growing interest has not been accompanied by the development of criteria to evaluate the performance of different tracking algorithms. In this paper, we introduce an evaluation criterion for abrupt motion trackers. This criterion contains a set of trials that test the robustness...
Human identification is very important for many applications. Most existing methods are based on ID cards or biometrical methods, such as fingerprint hard information or clothing color soft biometric trait. In this work, we propose a novel framework for human identification through recognizing human moving trajectory by two modalities, that is, the motion information from bird's eye view depth cameras...
In this paper, we propose a music listening system, called “Attaching-Music,” which detects a human subject's ear position and projects the sound to a listener's ears by two directional speakers with servo motors. Our probabilistic head detection scheme from depth data can provide precise location for speakers to project the sound to an audience. Using the proposed “Attaching-Music” system, a headset-free...
The popularity of mobile photography paves the way to create new ways of viewing, interacting and enabling a user's creative expression with personal media. In this paper, we describe an instantaneous and automatic method to localize the camera and enable segmentation of foreground objects such as people from an input image, assuming knowledge of the environment in which the image was taken. Camera...
An obstacle system based on visual selective feature and stereo vision is stated in this paper. By extracting feature vectors with color, intensity and direction, the corresponding saliency map is constructed. Then, obstacle area is figured out through threshold segmentation to the saliency map, and 3-D information of the obstacles is computed by using stereo vision. Finally, obstacle information...
In this paper, we propose a data-driven foreground object detection technique which can detect foreground objects from a moving camera. We propose to build a data-driven consensus foreground object template (CFOT) and then detect the foreground object region in each frame. The proposed foreground object detection technique is equipped with the following functions: (1) the ability to detect the foreground...
In this study, we investigated the mechanical properties of porcine aortic sinus using a three-dimensional marker measuring technique called the direct linear transformation (DLT) method. By recording pressure-inflation tests of five porcine aortic roots with the use of two cameras simultaneously, we were able to obtain stress and strain responses of aortic sinus upon applied luminal pressures and...
This paper presents a novel people counting system for an environment in which a stationary camera can count the number of people watching a TV-wall advertisement or an electronic billboard without counting the repetitions in video streams in real time. The people actually watching an advertisement are identified via frontal face detection techniques. To count the number of people precisely, a complementary...
How to extend product life circle through innovative design is the responsibility of designer. Through analyzing the reasonable content in ??Planned Obsolescence?? and the series design of Ricoh R digital camera, the author bring forward to the product series design model of ??post planned obsolescence??. The author points that feature is the core of the model, and technology, function and appearance...
Since a large number of vision applications rely on the mapping between 3D scenes and their corresponding 2D camera images, an important practical consideration for researchers is, what are the major determinants of camera calibration accuracy and what accuracy can be achieved within the practical limits of their environments. In response, we present a thorough study investigating the effects of training...
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