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Studying marine plankton is critical to assessing the health of the world's oceans. To sample these important populations, oceanographers are increasingly using specially engineered in situ digital imaging systems that produce very large data sets. Most automated annotation efforts have considered data from individual systems in isolation. This is predicated on the assumption that the images from...
Egocentric, or first-person vision which became popular in recent years with an emerge in wearable technology, is different than exocentric (third-person) vision in some distinguishable ways, one of which being that the camera wearer is generally not visible in the video frames. Recent work has been done on action and object recognition in egocentric videos, as well as work on biometric extraction...
Action recognition has received increasing attention from the computer vision and machine learning communities in the last decade. To enable the study of this problem, there exist a vast number of action datasets, which are recorded under controlled laboratory settings, real-world surveillance environments, or crawled from the Internet. Apart from the "in-the-wild" datasets, the training...
Intelligent video surveillance system plays a vital role in ensuring safety and security to the public. In recent years, surveillance systems are widely used in all places starting from border security application to street monitoring systems. As the analysis of surveillance video becomes one of the most emerging trends and research fields of interest, there is a need for a comprehensive survey on...
There is a need to enhance communication between human and computers which is being greatly defined in this changing era of technology with Human Computer Interaction (HCI) which is helping in determining new communication models and accordingly new ways of interacting with machines. Current smartphone inputs are limited to physical buttons, touchscreen input, cameras or built-in sensors. The rapid...
A mobile augmented reality (AR) game application was developed based on simultaneous localization and mapping (SLAM). The SLAM-based AR game requires to estimate the pose from the camera input image in real time. Before running the game, point cloud data for a real-world game space is built. While the game is running, the camera pose is estimated by matching the prebuilt point cloud data and camera...
Unmanned Aerial Vehicles are currently gaining widespread adoption in multiple roles. In this paper, we proposes obstacle detection algorithm for unmanned aerial vehicles using stereoscopic vision. Depth of objects in the image could be calculated. There is also another important property of image captured by a stereo camera; if an object is at a certain position it will appear at a certain combination...
This paper deals with a design of specific marker detector and tracker for semiautonomous convoy purpose. The solution is based on computer vision. The detectors main requirement is the specific marker recognition ability for various environments. The next part of this paper deals with tracking of marker by KLT algorithm. This solution was primary designed for a semi-autonomous convoy task, where...
The traditional method of tea leaves harvesting is done in following ways, such as Hand Plucking using knife, Hand Plucking without using Knife. In the recent years the harvesting machines are introduced which can be operated by a single person or multiple persons and also a robotic vehicle. The challenges faced in the above systems are not enough capacity of human resources, intruding of wild animals...
This paper describes about the team SNU MACRO'S strategy for scan the code mission in Maritime RobotX Challenge. Before describing the specific algorithm for scan the code mission, our vehicle system which was developed for completing each mission for the competition is outlined briefly. To recognize the LED color of the buoy, image processing algorithm is divided into three step, including preprocessing,...
Human behavior analysis based on surveillance camera is one of hot topics in security, marketing as well as computer vision and pattern recognition, and these are useful for commercial facilities such as convenience stores or book stores. In general, since surveillance camera is placed on the ceiling near store wall to monitor customer behaviors, the majority of this research utilize human model adapted...
The paper covers the methods of object's spatial orientation detection in television system. By using a stereo pair a depth map of the scene is being obtained and distance to the object parts is being estimated. The object's spatial orientation is being estimated by computing the mass center of the object and constructing the tangent plane to the surface of the object and normal. Results of this work...
On-going progressions of Information Technology increase the scope for computer vision-based interventions to facilitate efficient and promising technology for people with disabilities. This project aims to develop a wearable navigational assistive device, titled EyeVista, to facilitate visually impaired sprint athletes. It is a lightweight, easy-to-use, customizable and low-cost wearable jacket built-in...
Human activity recognition in video camera is the prime research topic in computer vision and machine learning since last many years. Visual cameras have been used in public and private place like railway station, shopping malls, airport, offices, schools and university, etc. to recognize threat in the scene. The automated visual surveillance system will help to catch suspect in the scene, person...
Crowd density analysis is very imperative for intellectual video surveillance to help in management and control of crowds for safety. In recent years, more and more datasets dedicated to crowd density estimation, crowd analysis and anomaly detection in crowded scenes have been created. The use of these dataset allows us to compare different crowd density estimation methods with the same input data...
Incident irradiance plays a significant role in power generation on a stand-alone solar photovoltaics (SPV) array. Due to sun movement, non-uniform illumination (NUI) is an inevitable phenomenon on stand-alone rooftop SPV array. This results loss in power generation as well as affects the long term reliability of those SPV modules. It can be overcome, by incorporating solar tracking arrangement across...
The Project is based on design & implementation of smart hybrid system for street sign boards recognition, text and speech conversions through character extraction and symbol matching. The default language use to pronounce signs on the street boards is English. Here we are proposing a novel method to convert identified character or symbol into multiple languages like Hindi, Marathi, Gujarati,...
Radial lens distortion often exists in common cameras, which makes the taken images violate the assumption of pinhole camera model. The prestigious division model for radial distortion with just a single parameter is presented by Fitzgibbon. Lines in 3D space may be projected onto curves in the image plane due to radial distortion. Alemán et al. utilized Hough transform with three parameters, one...
We investigate a vision-based vehicle tracking method which allows an unmanned aeriel vehicle(UAV) to track and follow a ground vehicle in coordinated Air-Ground operations. The UAV detects a customized Apriltag attached on the ground vehicle and estimates its motion status. We use a novel embedded-tag design to allow the UAV detect and lock the ground vehicle in both high and low altitude. The dynamic...
We present the results of analyzing gait motion in first-person video taken from a commercially available wearable camera embedded in a pair of glasses. The video is analyzed with three different computer vision methods to extract motion vectors from different gait sequences from four individuals for comparison against a manually annotated ground truth dataset. Using a combination of signal processing...
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