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The core technology of visible light gaze tracking (VLGT) system is the determination of iris contour (limbus circle) on the eye image. In this paper, we proposed a hierarchical search scheme for the matching between the ellipse models and the iris contour on the eye image. The experimental results show the proposed hierarchical search scheme efficiently matches the rotating models of human eyes with...
Visual Simultaneous Localization and Mapping (VSLAM) requires feature detection on visual data. In indoor scenes that include architectures such as plain walls and doors, there are no or less corners detected, in such cases tracking will be lost. To overcome this situation we track different types of features that help in feature extraction even in textureless scenes. Line features are used to get...
This paper is a combined method for stereo matching. Between the stereo images have difference perspective each other. The difference of stereo images is called disparity. This information measures the difference of reference and target stereo images. Then we can estimate the correspondence points on the target image from reference image. The proposed method is a combination of SIFT and cost aggregation...
Use of camera has increased among professionals and nonprofessionals in recent years and videos are being captured widely and wildly for information, knowledge, surveillance, adventures and memories. So these videos are highly vulnerable to suffer from translational and rotational noises. These noise are caused by multiple factors and it is difficult to remove all those causes. So digital video stabilization...
Nowadays, QR (quick-response) codes have become part of our daily life. In many applications, QR codes are posted (i.e. pasted or printed) on cylinders. Then, the QR image as captured by a camera would be distorted. In this paper, we try to tackle the decoding of QR codes in such a situation. It is based on perspective projection (PP), which is specified by a camera matrix (cM), with the assistance...
This paper presents an alternative navigation tool that can be used in indoor environment. This is due to restrictions on GPS signals that cannot be detected in indoor locations. The work presented here shows the development of an interactive indoor localization system that uses live input video capture and can identify location markers to indicate its current location. In addition, augmented reality...
Recently, interest in contents utilizing 360 and Virtual Reality images is increasing. These images are generally transformed into Equirectangular projection and transmitted in a 2:1 ratio rectangular shape. However, this method causes distortion of the upper and lower parts of the 360 images which is widely spread. Furthermore, since the spread 360 images requires higher data rate, it is difficult...
UM-BUS, a reconfigurable high-speed device- interconnected bus, also characteristic of dynamic fault-tolerance and remote access has been proposed to enablelightweight sensor system design in IoTs. Performanceprediction is a key step to build an idea of the worst or best casesbefore real-world deployment of UM-BUS-based systems. Thispaper proposes a queuing theory-guided analytic model whichallows...
In this work, we present an algebraic solution to the classical perspective-3-point (P3P) problem for determining the position and attitude of a camera from observations of three known reference points. In contrast to previous approaches, we first directly determine the cameras attitude by employing the corresponding geometric constraints to formulate a system of trigonometric equations. This is then...
Single feature of pedestrian is difficult to accurately describe the target using traditional algorithms. A new reidentification algorithm combing global features and local features with different distance metric function is introduced. First, weighted color histogram feature for whole pedestrian is extracted and combined with Bhattacharyya distance to roughly recognize targets. Then pedestrians’...
Despite significant progress in the development of human action detection datasets and algorithms, no current dataset is representative of real-world aerial view scenarios. We present Okutama-Action, a new video dataset for aerial view concurrent human action detection. It consists of 43 minute-long fully-annotated sequences with 12 action classes. Okutama-Action features many challenges missing in...
Crowd behaviour analysis is a challenging task in computer vision, mainly due to the high complexity of the interactions between groups and individuals. This task is particularly crucial given the magnitude of manual monitoring required for effective crowd management. Within this context, a key challenge is to conceive a highly generic, fine and context-independent characterisation of crowd behaviours...
The last years have seen a quick rise of digital photography. Plenoptic cameras provide extended capabilities with respect to previous models. Multi-focus cameras enlarge the depth-of-field of the pictures using different focal lengths in the lens composing the array, but questions still arise on how to select and use these lenses. In this work a further insight on the lens selection was made, and...
This paper indicates the dataset and challenges evaluated under PETS2017. In this edition PETS continues the evaluation theme of on-board surveillance systems for protection of mobile critical assets as set in PETS 2016. The datasets include (1) the ARENA Dataset; an RGB camera dataset, as used for PETS2014 to PETS 2016, which addresses protection of trucks; and (2) the IPATCH Dataset; a multi sensor...
In this study, we present a set of new evaluation measures for the track-based multi-camera tracking (T-MCT) task leveraging the clustering measurements. We demonstrate that the proposed evaluation measures provide notable advantages over previous ones. Moreover, a distributed and online T-MCT framework is proposed, where re-identification (Re-id) is embedded in T-MCT, to confirm the validity of the...
The use of surveillance cameras continues to increase, ranging from conventional applications such as law enforcement to newer scenarios with looser requirements such as gathering business intelligence. Humans still play an integral part in using and interpreting the footage from these systems, but are also a significant factor in causing unintentional privacy breaches. As computer vision methods...
Multiple person tracking over a camera network is usually performed by matching person images between adjacent cameras. It easily fails by a temporal appearance change of the persons caused by environmental illumination and observation orientation of a camera. To solve this problem, matching person images across not only adjacent cameras but also cameras multiple hops away in the camera network is...
We present an anomaly detection system based on an autonomous robot performing a patrol task. Using a generative adversarial network (GAN), we compare the robot's current view with a learned model of normality. Our preliminary experimental results show that the approach is well suited for anomaly detection, providing efficient results with a low false positive rate.
This paper presents the results of the depth estimation challenge for dense light fields, which took place at the second workshop on Light Fields for Computer Vision (LF4CV) in conjunction with CVPR 2017. The challenge consisted of submission to a recent benchmark [7], which allows a thorough performance analysis. While individual results are readily available on the benchmark web page http://www...
This paper proposes a vehicle blind spot detection (BSD) system to reduce the traffic accident when car was changing lanes on the road. The cameras are installed at the bottom of the left and right side view mirrors. The system reaches 99% vehicle detection rate and is applicable during daytime and nighttime without high-cost radar. Furthermore, the system integrates with functions of auto cycle video...
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