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We presented a visual behavior learning mechanism, to learn the realistic motion from real fishes and to automatically generate 3D animation. This method does not need to set markers or sensors on the objects; neither needs the pre-created motion database. All the learning data are obtained from the multi-view input videos. We use multiple cameras to record the motion of fishes, and track the deformable...
In this paper, we propose a new method of embedding data and extracting it from a printed image. By embedding the data in a translation-invariant region of a target image, extraction of the target image from the background becomes unnecessary. Therefore, the data can be embedded at an arbitrary position in the target image. Additionally, a marker detection method using invisible markers is proposed...
This paper proposes a machine-learning technique to detect vehicle anomalies from data captured by automatic number plate recognition (ANPR) system. The proposed anomaly detection technique is specially engineered to exploit both spatial and temporal features of vehicles captured by ANPR system, so as to accurately detect anomaly vehicles. We extensively evaluated the proposed technique using a two-...
In this paper, we present an augmented in-vehicle navigation system for Head-Up Display (HUD). The proposed system superimposes turning directions and lane recommendations that correctly match the real world according to the variations in the driver's view. Therefore, the driver can keep his attention to specific situations and intuitively drive in the right direction. The proposed system extracts...
In recent years, Many people want to watch their interesting object from their wanted viewing angle when they watch sports or soap opera on TV. Thus, we have developed object based video contents management system for the personalized broadcasting service.
With the rise of video surveillance applications for analyzing real-time and batching video data in large scales, traditional video processing systems are being challenged due to real-time, intelligence and fault-tolerance demand for networked high resolution and large-scale video processing. These challenges can be further exacerbated by the existing predicaments of multi-platform, multi-format,...
This paper proposes a simple spatial feature combined with temporal characteristics to classify human interactions from surveillance cameras, which are far from the action scene. For the first stage, data is collected from a horizontal view. Then, the history of distance between two persons is stored during time as a temporal feature called distance signature. We use Spatio-Temporal Interest Points...
We previously proposed the artificial fiber (AF) patterns in order to be able to hide information in printed documents. AF pattern uses the features of the medium (e.g., paper). It has features of rotational invariance, low visibility of the hidden information. But it still suffered extraction threshold instability when using a camera to extract the information. This problem has now been overcome...
We present a novel approach to use mountain drainage patterns for GPS-Denied navigation of small unmanned aerial systems (UAS such as Scan Eagle), utilizing a down-looking fixed focus monocular imager. We leverage the analogy between mountain drainage patterns, human arteriograms, and human fingerprints. We match local drainage patterns to GPU-rendered parallax occlusion maps of offline geo-registered...
In recent years, large-scale video search and mining has been an active research area. Exploring the trajectory of pedestrian of interest in non-overlapping multi-camera network, namely the trajectory mining, is very useful for visual surveillance and criminal investigation. The trajectory mentioned in our work describes the transition of pedestrian among cameras from a macroscopic perspective which...
In this paper, the authors present a user-centered concept for the operation experience of human-robot interface. For showing a concrete concept of our research, we design an assistant robot system. There are several stages for developing this system. Firstly, it is to obtain user's data. The authors obtained static data from Internet, and activity data from capturing humans' a motion data. The authors...
With the rapid expansion of major cities, the tremendous increase in the number of vehicles, and the construction of huge buildings and parking areas, there is a need to develop smart parking systems to assist drivers finding the nearest available parking spots. Such systems have witnessed substantial research efforts in developed countries. There are mainly four categories of car parking management...
Brazilian energy distribution companies need to frequently update their database of the public lighting network. Since changes on this network are frequently not reported, it is important to monitor where they are made. An electronic device is under development for making this task easier. One component of this device uses image processing and recognition techniques to identify the luminaire models...
Recent technology developments in computer vision, digital cameras, and portable computers make it possible to assist blind individuals by developing camera-based object recognition products. However, motion blur caused by a moving camera limits the real-world application of wayfinding for blind users. In this paper, we propose a new method to detect good quality frames from videos captured by cameras,...
Automatic detection of unusual events such as falls is very important especially for elderly people living alone. Realtime detection of these events can reduce the health risks associated with a fall. In this paper, we propose a novel method for automatic detection of fall event by using depth cameras. Depth images generated by these cameras are used in computing the skeletal data of a person. Our...
In various real-world applications of distributed and multi-view vision systems, the ability to learn unseen actions in an online fashion is paramount, as most of the actions are not known or sufficient training data is not available at design time. We propose a novel approach which combines the unsupervised learning capabilities of Hierarchical Dirichlet Processes (HDP) with Temporal Self-Similarity...
CCTV is one of the tools that can be used to extract the needed traffic Information. Extracted information from image sequences of CCTV can give us real information about the number of passing vehicles and vehicles speed. In this paper we propose a new method in detecting the number of vehicles and vehicle speed measurement in low light conditions. Headlight detection is used in order to identify...
Visual sensors are usually set up to capture the environmental information and/or to monitor traffic road condition. The captured video is then transmitted to end-users for being further analyzed or stored. However, the video data amount and size is too large to store and transmit smoothly with high resolution under capacity and bandwidth limitation. Because consecutive frames have a large-scale overlapped...
We propose a camera-based assistive framework to help blind persons to read text labels from cylinder objects in their daily life. First, the object is detected from the background or other surrounding objects in the camera view by shaking the object. Then we propose a mosaic model to unwarp the text label on the cylinder object surface and reconstruct the whole label for recognizing text information...
The safety of Powered Two Wheelers (PTWs) is important for public authorities and road administrators around the world. Official figures show that PTW represent only 2% of the total traffic on French roads, but as these figures are obtained by simply counting the number plates registered, they do not give a true picture of the PTWs on the road at any given moment. To date, there is no overall solution...
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