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Binocular vision measurement technology is widely used in large object measurement, such as large hot forging. However, the traditional method cannot satisfy the requirement of the binocular measurement system in the workshop, which is complex and fast-paced processing. Therefore, an improved binocular measurement system for large hot forging calibration method is proposed in this paper. The binocular...
Traditional methods of access control such as password token or identification card are being replaced by biometrics recognition technology in many fields because of their limitation in reliability and usability. Vein pattern identification is outstanding compared to other biometrics methods such as fingerprint or iris due to its dependability and ease of use. At the same time, current biometrics...
In this paper we propose an effective and wearable mobility aid for people suffering of visual impairments purely based on 3D computer vision and machine learning techniques. By wearing our device the users can perceive, guided by audio messages and tactile feedback, crucial information concerned with the surrounding environment and hence avoid obstacles along the path. Our proposal can work in synergy...
In this paper, a method todetect environmental hazards related to a fall risk using a mobile vision system is proposed. First-person perspective videos are proposed to provide objective evidence on cause and circumstances of perturbedbalance during activities of daily living, targeted to seniors. A classification problem was defined with 17 total classes of potential fall risks, including slope changes...
Obtaining 3D information from 2D image/video or a pair of 2D images is a way more economical and handy than that of using 3D cameras. The depth by disparity approach to obtain 3D information from a pair of 2D images called as stereo images is used in said system. Though the concept of depth by disparity is not new, the significant progress and useful applications has not been yet seen in the real...
Three Dimensional reconstruction of an object is one of the current research topics. This paper discusses the generation of a model in Three-Dimensional space by taking views of the object from different angles. Image acquisition is done using a single digital camera and turn table. Camera calibration is done using the images of checkerboard pattern. Camera calibration gives the intrinsic and extrinsic...
In video surveillance to count the number of people walking through a corridor or door people counting is used. Counting persons passing through supervised area is important issue of this domain. System of people counting is important for security application (such as in the situation of an evacuation, it is vital to know how many people are present inside the surveillance area at any given time),...
This paper presents an unattended or removed Object detection method for video surveillance data captured by single static camera. Two backgrounds are modelled with different learning rates; one for transient and another for permanent. These both backgrounds are defined as a mixture of Gaussian model, it uses online Bayesian for updating. Two binary foregrounds are extracted by subtracting those backgrounds...
Any multi-camera system requires placement decisions for its cameras to achieve the best system performance. Automated planning algorithms attempt to find the best placement and orientation of the cameras. We propose an optimization based approach maximizing the combined visible volume in the scene. Calculating the visible volume is a computationaly intensive process. We use GPU's to make it practical...
The counting of people is considered important for air-conditioning system in the intelligent building. Based on image processing, an automatic simple bi-directional counting method of pedestrians through a gate is proposed. In this method, only one common camera is used which is hung from the ceiling of the gate with a directly downward view. An experimental formula is used to estimate the number...
Due to insufficient network infrastructure, tactical networks suffer the imbalance between network resource supply and transmission demands generated by deployed sensing devices. On top of that, those sensing devices are in multiple modalities with the need of fusing diverse inputs into unified formats to provide answers to query tasks. We addressed issues under network resource constraints on exploiting...
with the remarkable growth in image processing, the requirements for dealing out with blurred images is difficulty in a variety of image processing applications. In this paper presents the restoration of blurred images which gets degraded due to diverse atmospheric and environmental conditions, Blur is a key determinant in the sensitivity of image quality, so it is essential to restore the original...
We present four raycast-based techniques that determine the transformation between a depth camera's coordinate system and the coordinate system defined by a rectangular surface. In addition, the surface's dimensions are measured. In contrast to other approaches, these techniques limit additional hardware requirements to commonly available, low-cost artifacts and focus on simple non-laborious procedures...
The Cognitive learning process of a human being normally begins with sensory inputs. This process of learning gets hampered in case of persons with one or more perceptual disability. Vision being one of the most important perception, maximum learning happens through it. The absence of vision in humans is often supported by Tactile or Auditory perception during the cognitive learning process. Colour...
An autonomous underwater vehicle (AUV) cannot operate for an extended amount of time due to limited energy supplied by battery embedded in its system. To prolong the AUV operation a docking station could be used so that the AUV can dock inside the station to recharge its battery. Several researches had been conducted for the docking of AUV using vision. Most of the research uses image-based visual...
This paper describes the use of two dimensional (2-D) laser scanner for locating badminton shuttlecock in real playing environment. It proposes a method to predict the end point of shuttlecock trajectory. The system is designed using two 2-D laser scanners to locate shuttlecock in midst of air in its trajectory. It helps to calculate shuttlecock's speed, orientation and hence, to predict an end point...
Joint acquisition of multispectral images raised a lot of interest due to the applications that can be performed using a wide spectrum of information. Images acquired simultaneously from two spectrums (visible and near infrared) can be fused to generate enhanced images (de-hazing, portrait enhancement, low light, beautification, enhancement). The multispectral images can be combined or used separately...
Images taken in low-light environments are often degraded due to camera shake and pixel saturation. In this paper, a motion deblurring method for non-uniform blur is proposed, in which an optimization problem is formulated using a maximum a posteriori approach. In the final deconvolution process, a modified Richardson-Lucy algorithm with regularization is used to reduce ringing artifacts and noise,...
We propose a novel e-rehabilitation system based on a commercial RGB-D device. Differently from exergaming approaches, clinical objectives scores of each specific body part involved in the exercise are computed. Subjects performances are sent to the physiotherapists in order to support and improve decisions and therapies.
This paper presents an experimentation with a vision based skill learning technique using Barrett WAM (a 7-DoF robot manipulator) and Microsoft's Kinect (a 3D sensor). This skill learning approach is based on Symbolic Encoding. Even though most of the imitation learning approaches focus on trajectory encoding, symbolic encoding offers a more concise representation of a skill which is easily transferable...
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