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A novel algorithm for view-invariant human action recognition is presented. This approach is based on Two-Dimensional Principal Component Analysis (2DPCA) applied directly on the Motion Energy Image (MEI) or the Motion History Image (MHI) in both the spatial domain and the transform domain. This method reduces the computational complexity by a factor of at least 66, achieving the highest recognition...
There are many behavioral-recognition camera for people or pets and such as street surveillance camera became to use camera at many place. However, the amount of information is increasing, and in the manual analysis of all things and cause cost and oversight, to collect data for learning to act like a machine can recognize, it is difficult to collect large, the necessity of analyzing a camera automatically...
Metadata is considered vital in making sense of ISR sensor data because it provides the context needed to interpret motion imagery. For example, metadata provides the fundamental information needed to associate the imagery with location and time. But, more than that, metadata provides information that can assist in automated video analysis. This paper describes some of the ways that metadata can be...
Image motion blur and defocus blur often occur when there is a relative motion between the imaging camera and the detected object. These two blurs will degrade the image quality and will also decrease the subsequent pattern recognition accuracy. In this paper, we propose a robust weed recognition scheme using the low quality color weed images with the above-mentioned image blurs. The proposed scheme...
If a camera moves fast in low light environments, large scale motion blur is induced. Algorithms for deblurring motion blur images mostly fail miserably when applied to large scale motion blur images. The motion path of the camera is complex, and the estimation of accurate point spread function(PSF) for a large scale motion blur image is always a difficult problem. Firstly, a hybrid camera which is...
Detecting moving objects is a significant component in many machine vision systems. One of the challenges in real world motion detection is the unstability of the background. An ideal method is expected to reliably detect interesting movements from videos while ignoring background/uninteresting movements. In this paper, Genetic Programming (GP) based motion detection method is used to tackle this...
This paper analyzes the information rate control for characterizing moving objects in networked visual applications where limited computational and communication resources are used in the characterization task. Several key processing units in networked visual applications are presented. The goal is to utilize suitable image processing techniques for identifying the key parameters of the important...
Visual Sensor Networks (VSNs) open up a new realm of smart autonomous applications based on enhanced three-dimensional sensing and collaborative reasoning. An emerging VSN application domain is pervasive healthcare delivery where gait information computed from distributed vision nodes is used for observing the wellbeing of the elderly, quantifying post-operative patient recovery and monitoring the...
A single camera stereographic imaging system was designed, built and tested for the intended application of tracking upper limb motion. The system consisted of a camera, quad-mirror system and image acquisition and processing software. This paper describes the design methods used and the testing of the system. Design methods included geometry optimisation and testing consisted of proof-of-concept...
To detect errors when subjects operate a home medical device, we observe them with multiple cameras. We then perform action recognition with a robust approach to recognize action information based on explicitly encoding motion information. This algorithm detects interest points and encodes not only their local appearance but also explicitly models local motion. Our goal is to recognize individual...
Without the ground truth image, there is no proper objective method to evaluate sprite generation. In this paper, we propose several complex camera motion patterns to generate synthetic video from original images. Our camera motion patterns include rotation, affine, and pan-tilt-zoom (PTZ) transformations. In addition, they also include combined patterns. Subsequently, we applied sprite generation...
We introduce the first visual dataset of fast foods with a total of 4,545 still images, 606 stereo pairs, 303 3600 videos for structure from motion, and 27 privacy-preserving videos of eating events of volunteers. This work was motivated by research on fast food recognition for dietary assessment. The data was collected by obtaining three instances of 101 foods from 11 popular fast food chains, and...
We designed a simultaneous analysis system to measure eye and head-neck movement in the evaluation of unilateral spatial neglect (USN). Analysis was performed in one healthy subject and one USN patient with left homonymous hemianopsia. Synchronization of eye and head-neck movement enabled quantitative and qualitative analysis of these movements. Future studies are required to enhance the accuracy...
This paper proposes a block-based approach to the problem of image registration for detecting camera motion in the presence of moving objects, intended for application in the area of video inpainting for the film industry. The method of aggregating search results on individual blocks during the registration offers a simple and effective way to isolate the background transform, as well as offering...
This paper presents a method to create an illusion of seeing moving objects through occluding surfaces in a video. This illusion is achieved by transferring information from a camera viewing the occluded area. In typical view interpolation approaches for 3D scenes, some form of correspondence across views is required. For occluded areas, establishing direct correspondence is impossible as information...
Recognizing objects being manipulated in hands can provide essential information about a person's activities and have far-reaching impacts on the application of vision in everyday life. The egocentric viewpoint from a wearable camera has unique advantages in recognizing handled objects, such as having a close view and seeing objects in their natural positions. We collect a comprehensive dataset and...
In modern video coding standards, motion compensated prediction (MCP) plays a key role to achieve video compression efficiency. Most of them make use of block matching techniques and assume the motions are pure translational. Attempts toward a more general motion model are usually too complex to be practical in near future. In this paper, a new Block-Matching Translation and Zoom Motion-Compensated...
In our previous result, a GPS-enabled (global positioning system) device is incorporated into visual surveillance to provide a novel visual tracking service. A person carried such device can be tracked not only on a digital map, but also in the real-time camera image. However, the approach relies on a calibration method with five calibration points for transforming a GPS coordinate into an image coordinate...
We introduced the motion capture system using two CCD cameras recently, but could not show any better accuracy than a system using PSD camera. In this paper, we propose two kinds of method to improve the accuracy of the 3D acquisition of the motion capture system using CCD cameras. The applied methods are a distortion removal and z-axis adjustment. We show the result how much the accuracy on the 3D...
We present a non-contact monitoring system to measure the quality of sleep using near-infrared video in this paper. We envision a smart home environment in which a processing module can be installed in the bedroom to record and monitor sleep in a noninvasive manner. We describe the procedure adopted to infer motion information and discuss the method for estimating wake/sleep status from the acquired...
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