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Recovering 3D depth from a single outdoor image is a basic problem in Computer Vision and Close-Range Photogrammetry. In this paper, an efficient depth estimation approach from a single outdoor image is presented. According to scene classification, depth of regions marked as sky, ground and vertical labels is respectively predicated. Firstly, a more accurate depth calculation model for ground regions...
On-orbit geometric calibration is a critical and essential step to guarantee the high geometric positioning accuracy of high-resolution optical satellite imagery. In this paper, we first review and summarize the on-orbit geometric calibration methods for high-resolution optical satellite and then analyze their advantages and disadvantages. Finally, we present our perspective on on-board geometric...
Emerging Camera Sensor Networks (CSN) leverage the collaboration, processing and communication capabilities of modern cameras to handle a wide variety of security and safety-critical tasks, including target tracking. However, the performance of CSN in terms of tracking accuracy can be severely degraded when faults occur. Faults may be caused by unpredictable software errors (e.g., in the image processing,...
A novel algorithm to generate a tridimensional reconstruction of an object using a series of images obtained with sensors within low-cost cameras is proposed. As a matter of particular study, this paper present the methodology employed to set an array of sensors to extract the necessary information from a particular group of acquired images surrounding the sample, the processing schema for its interpretation...
Recently, some commercial software to generate digital surface model (DSM) were provided from some vender. One software is based on the bundle method using conventional Photogrammetry, another one is based on structure-from-motion method (SfM) under computer graphics technology. It is wavered to choose which software to generate DSM derived from drones. In this work, the accuracies of DSM were verified...
Hand gesture based input method has quickly emerged as an alternative way for human-3DTV interaction. However, it limits the user experience and gets severe when gesture recognition in uncontrolled TV room is not accurate or robust enough and a large type and number of gestures are required. In this paper, we present a simple and fast human-3DTV interaction method that combines the advantages of touchless...
One of the key requirements for the evaluation of indoor localization systems is an accurate and reliable ground truth. Existing ground truth systems are often expensive due to high hardware cost and complex deployment. In this work, we present a simple yet highly accurate approach for a cost-effective ground truth system based on off-the-shelf infrastructure cameras and printable markers. We developed...
Human action recognition system is fundamental of human activity and behavior recognition, especially for video analysis technologies. In this paper, we introduce an improvement method for human action recognition proposed by P.Chawalitsittikul et al. The actions from RGBD multi-views, taken from cameras at different static-viewpoints in the overlapping Area of Interest, are fused at high-level decision...
Sensor pattern noise (SPN) has been proved to be an inherent fingerprint of a camera, and it has been broadly used in the fields of image authentication and camera source identification. However, the SPN extracted using current denoising algorithm always contains image content residual, which would significatively influence the accuracy of camera source identification. In this paper, a novel patch-based...
In this paper, a fall alarm and abnormal inactivity detection system is implemented on Raspberry Pi for security surveillance of empty-nesters in real time environment. We propose a novel method for fall alarm with a small amount of computing and we also present an inactivity detection method which we named "inactivity history" method to improve the accuracy of detection and it is a kind...
People often need help when filling out paper forms, because they do not fully understand the meaning of form fields. Commonly adopted solutions are referring to the form filling instructions or consulting other people. However, they are either inefficient or inconvenient. In this paper, we propose a situation-aware and interactive system, named Interact Form, to help people fill out paper forms....
A support application for physically handicapped children to communicate with others by blinks is studied in this paper. OpenCv was used to detect an eye area. The method using saturation and using complexity of image are combined to get more accurate results to detect blinks. The technique is developed into a communication application that has the accurate and high precision blink determination system...
Image registration for stack-based HDR photography is challenging. If not properly accounted for, camera motion and scene changes result in artifacts in the composite image. Unfortunately, existing methods to address this problem are either accurate, but too slow for mobile devices, or fast, but prone to failing. We propose a method that fills this void: our approach is extremely fast—under 700ms...
We propose a novel approach to segment hand regions in egocentric video that requires no manual labeling of training samples. The user wearing a head-mounted camera is prompted to perform a simple gesture during an initial calibration step. A combination of color and motion analysis that exploits knowledge of the expected gesture is applied on the calibration video frames to automatically label hand...
This paper presents a subject centric group feature for person re-identification. Our approach is inspired by the observation that people often tend to walk alongside others or in a group. We argue that co-travelers' information, including geometry and visual cues, can reduce the re-identification ambiguity and lead to better accuracy, compared to approaches that rely only on visual cues. We introduce...
The detection of groups of people is attracting the attention of many researchers in diverse fields, with a growing number of approaches published each year; despite this, the evaluation metrics are not consolidated, with some measures inherited from the people detection fields, other ones designed specifically for a particular approach, generating a set of not comparable figure of merits. Moreover,...
Active triangulation has been successfully applied in numerous applications such as distance measurement, profile inspections and pose estimation in robotics. Its accuracy depends on many factors with locating laser centroid being one of them. The error generated in locating the laser centroid within the image is propagated to the system output with consequences in decreasing performance. In this...
This paper presents a novel method to conduct camera pose estimation though combining Kinect and Perspective-n-points algorithms. Most existing camera pose estimation methods suffer from the errors caused by inevitable outliers between 2D–3D correspondences. To this end, we propose to use a random down sampling process to deal with outliers in this paper. The proposed method is divided into two main...
In this paper we present an innovative method for counting people from zenithal mounted cameras. The proposed method is designed to be computationally efficient and able to provide accurate counting under different realistic conditions. The method can operate with traditional surveillance cameras or with depth imaging sensors. The validation has been carried out on a significant dataset of images...
Microsoft Kinect had a key role in the development of consumer depth sensors being the device that brought depth acquisition to the mass market. Despite the success of this sensor, with the introduction of the second generation, Microsoft has completely changed the technology behind the sensor from structured light to Time-Of-Flight. This paper presents a comparison of the data provided by the first...
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