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Conventionally small area topographic detail plan is produced using land survey techniques. Various method of modern topographical detail plan however required more cost to speed up the data acquisition process for large data and high accuracy. The recent development in commercial grade Unmanned Aerial Vehicle (UAV) has the potential to be used as a data capture equipment with low cost. In this study,...
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...
Detection of moving objects is one of the key steps for vision based applications. Many previous works leverage background subtraction using background models and assume that image sequences are captured from a stationary camera. These methods are not directly applied to image sequences from a moving camera because both foreground and background objects move with respect to the camera. One of the...
This paper describes the development of a system that uses off the shelf ranging technology (distance cameras) to acquire a real-time multidimensional respiratory signal from a 3D surface reconstruction of the patient's chest and abdomen without the use of markers. The preliminary measurements are discussed within the context of the use of such a system with an existing CT scanner.
Video surveillance system is an important system to monitor safety and security for public place. Unfortunately, most of them do not have additional. In this paper, we have proposed an algorithm for detect human aggressive behavior by using Microsoft Kinect sensor. In our proposed algorithm, Cartesian coordinate formula is used for calculate position of body joints detected by Microsoft Kinect sensor...
This paper addresses two contributions for improving the accuracy and speed of preceding car detection systems. First, it proposes a feature description using Scalable Histogram of Oriented Gradient (SHOG) to solve scale problem of car region on the image. Without resizing the images to a fixed size, it is capable to extract a high-discriminated features with on the same feature space. Second, instead...
This paper proposes an unsupervised technique for detecting planar surfaces on single depth map image. The proposed method can detect planar surfaces by adopting dynamic seed growing technique without using texture information. So aided with this mechanism to control the growing process, each seed patch can grow to its maximum extent and then the next seed patch begins to grow. This process avoids...
The existing face liveness detection algorithms have satisfying performance on spoofing photos by detecting the biological motion, including eye blinking, head rotation and mouth movement. However, the biological motions can be simulated by using video, which is called a video playback attack. This paper proposes a countermeasure to a video playback attack by analyzing the detail of hair using the...
In this paper, we proposed a fast people counting method using the sampled motion statistics. Unlike most traditional approaches uses tracking methods to monitor the moving target until passing through the gate (or region), our method only analyzed motion information in the region of interest to achieve bi-directional people counting. By setting a variety of parameters, a sampled image area according...
Building a photorealistic, 3D model of an object or a complete scene from image-based methods is a fundamental problem in computer vision, and has many applications in robotic perception, navigation, exploration and mapping. In this paper, we extend current state-of-the-art in the computation of depth maps by presenting an accurate and computationally efficient iterative hierarchical algorithm for...
This paper presents a handwritten recognition method using camera as human-computer interaction device (HCI) for Mandarin Phonetic Symbols I (MPS1). The method is based on a hidden conditional random field (HCRF) model, which is an extension of the conditional random field (CRF) framework that incorporates hidden variables. The main advantage of the proposed method is that it avoids limitations of...
Different techniques exist for camera calibration based on photogrammetry or self-calibration. Much work has been done to obtain intrinsic and extrinsic camera parameters and also in data pre - and post-processing techniques. From a practical viewpoint, it is quite difficult to decide which calibration method produces the best results and even whether any data processing is necessary. This paper proposes...
In this paper, we propose an efficient people localization approach using multiple cameras based on axial representations of foreground regions. Unlike many previous methods that need to project all foreground pixels of all views to multiple reference planes via homography, we instead apply vanishing point-based line sampling to reduce the large amount of pixel processing so that computational efficiency...
Auto-focusing is a key feature of modern camera systems that ensures a focused image is captured without the need for any user intervention. Passive auto-focusing is achieved based on a measure of sharpness or a sharpness function that is extracted from a series of images at different focal positions. With the rapid growth of stereo camera systems for 3D applications, this paper introduces a sharpness...
Human detection has attracted much attention in recent years due to its widespread applications. Most existing multi-camera systems focus on locating moving people in each camera and thus resolve the occlusion, which cannot detect still people in images. To overcome this problem, we extend previous 3D search method from single camera to multi-camera. We first use the method of multiple view geometry...
This paper presents a novel approach towards identity management strategies for application in large scale interactive systems while separating pure detection from the identity management processes. Detection is achieved by employing a scalable, modal, network-based, real-time multi-camera tracking system in which numerous cameras are used to cover large areas. Objects are detected by employing blob...
Current markerless 3D registration methods usually utilize a single specified category of natural features. However, the richness of various natural features is ignored. They cannot meet users' diversified registration requirements. This article proposes an integration strategy of 3D registration methods based on multiple natural features. Utilizing feature detection and tracking and 3D registration...
A master-slave camera surveillance system is composed of one(or more) wide FOV(field of view) static camera and one(or more) dynamic PTZ(Pan-Tilt-Zoom) camera. In such a system, master camera monitors a wide field and provides positional information of interesting objects to slave camera so that it can dynamically track them. This paper describes a novel method for the calibration of master-slave...
This paper presents the results of the crowd image analysis challenge of the PETS2010 workshop. The evaluation was carried out using a selection of the metrics developed in the Video Analysis and Content Extraction (VACE) program and the CLassification of Events, Activities, and Relationships (CLEAR) consortium. The PETS 2010 evaluation was performed using new ground truthing created from each independant...
This paper presents the results of the crowd image analysis challenge of the Winter PETS 2009 workshop. The evaluation is carried out using a selection of the metrics developed in the video analysis and content extraction (VACE) program and the classification of events, activities, and relationships (CLEAR) consortium. The evaluation highlights the detection and tracking performance of the authors'...
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