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Human action recognition system proposed here recognizes the behavior of a person in real-time. The system aims at communicating the recognized gestures with the camera system. The proposed system initiates on identifying the human action provided in the database and it sends the trigger signals to the camera system so as to record and store the video stream within the system. The video stream is...
We present a prototype for remote surveillance aiming at reducing the bandwidth requirements without compromising the reliability. The system consists of a network of off-the-shelf proximity sensors and a point-tilt-zoom (PTZ) camera. The camera captures video when an interrupt is received by one of the sensors. A remote server controls the operation of sensors and the camera, and is capable of receiving...
In recent years, small, inexpensive UAV - also known as drone - has made great progress, which brings privacy and security issues. Drone detection is one of the important methods to solve these problems. The main challenges of drone detection are: (1) A drone is very confusing with other flying objects such as a bird, (2) the low-flying UAV occlusion happens very frequent, and (3) the existing surveillance...
Accurate prediction of vehicle ego-motion in real time is crucial for an autonomous driving system. In this paper, we formulate the problem of ego-motion classification as video event detection, and we propose an end-to-end deep model to address this problem. In this model, we utilize Convolutional Neural Networks (CNNs) to extract semantic visual feature of each video frame, and employ a Long Short...
With regard to the desperate demands of visibility monitoring, alarm and disposal in China highway, a visibility monitoring system was approached, by utilizing densely-deployed video camera facilities distributing along highway roadside. This system is composed mainly by multiple roadside lower end subsystems and a data service upper end subsystem deployed in information center of China highway network...
With the advance of multimedia technology, traditional remote communication applications (e.g. video chat) may not satisfy the increasing demand for effective interactivity due to the lack of realistic experience of being physically present. Telepresence is a new form of communication that aims to strengthen the connection between people by creating more immersive and interactive environments. However...
360 Video has become popular in recent years, as commercial interests in deploying Virtual Reality (VR) applications rise. This type of video is usually captured using multi-camera arrays, such as the GoPro Omni camera rig. After separate video streams are captured from multiple cameras, image stitching is applied to obtain a spherical representation of the scene, which spans 360 degrees horizontally...
We developed Gutsy-Avatar, which enables computational assimilation between real and virtual users for advanced communication and collaboration. Although our system supports video meeting through the Internet, local users can wear remote users through an electronic device, which allows remote users to share views and experiences with the local user. The remote user can also give physical feedback...
The recent rise in multimedia technology has made it easier to perform a number of tasks. One of these tasks is monitoring where cheap cameras are producing large amount ofvideo data. This video data is then processed for object classification to extract useful information. However, the videodata obtained by these cheap cameras is often of low qualityand results in blur video content. Moreover, various...
A high definition(HD) wide dynamic video surveillance system is designed and implemented based on Field Programmable Gate Array(FPGA). This system is composed of three subsystems, which are video capture, video wide dynamic processing and video display subsystem. The images in the video are captured directly through the camera that is configured in a pattern have long exposure in odd frames and short...
This paper proposes an approach to analyze the performance of a table tennis player in returning balls launched by a machine. Video frames streamed by a single-view low-quality camera are used as the input of the proposed approach. Background subtraction, HSV transformation, and morphological processing are also applied to identify the location of the ball. The output of the proposed approach is types...
Peripheral vision loss (also called tunnel vision) is one of the main visual field disorders that can be very frustrating, and affect confidence and main activities of the patient. In this paper, two promising solutions for the peripheral vision loss are presented and discussed. The first one uses optical see-through glasses that are augmented by computer-generated images to notify the user about...
Recently, non-fixed camera-based free viewpoint sports video synthesis has become very popular. Camera calibration is an indispensable step in free viewpoint video synthesis, and the calibration has to be done frame by frame for a non-fixed camera. Thus, calibration speed is of great significance in real-time application. In this paper, a fast self-calibration method for a non-fixed camera is proposed...
Augmented Reality (AR) introduces vast opportunities to the industry in terms of time and therefore cost reduction when utilized in various tasks. The biggest obstacle for a comprehensive deployment of mobile AR is that current devices still leave much to be desired concerning computational and graphical performance. To improve this situation in this paper we introduce an AR Edge Computing architecture...
Most ConvNets formulate object recognition from natural images as a single task classification problem, and attempt to learn features useful for object categories, but invariant to other factors of variation such as pose and illumination. They do not explicitly learn these other factors, instead, they usually discard them by pooling and normalization. Here, we take the opposite approach: we train...
Capturing or acquiring video data from advanced gadgets, like cell phone cameras, smart phones, camcorders, etc., is very recent and up growing trend. With the advancement of the video camera as the integrated part of these multimedia devices generates necessity for video stabilization. Digital video stabilization or video frame alignment techniques are used to improve quality of input video by removing...
In today's world data represented in the form of a video are prolific and has increased the requisite of storage devices unconditionally. These video sets takes up a huge space for amassing data and takes a long time to ascertain the content that requires a higher cognitive process for content search and retrieval. The efficient method for storing video data is to remove high-degree redundancies and...
This work proposes sliding window fall detection match (SW-FDM), a rule-based fall detection method based on event pattern matching from human body posture event streams. Fall and post-fall (long lie) rules are expressed as patterns, and complex event processing (CEP) systems are adopted to quickly find these patterns. They can be detected with event selection strategies such as Skip Till Next Match...
In a coastal fishery, fishing nets are located far away from the land, so it would take several hours to arrive there, which increases the cost. Moreover, fishermen cannot know the volume or type of fishes caught within the fixed net in advance. Therefore, we propose a new low cost sensor network system which can observe the environment inside and around the net. We have developed a fishing net monitoring...
With the aging of the population, comes increased incidence of chronic diseases affecting the cardiac and respiratory systems. Monitoring of these chronic conditions at home via family members or in institutions via healthcare providers is usually adequate during the day. Non-intrusive video-based monitoring approaches have been proposed using optical cameras whose performance significantly deteriorates...
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