A Remaining People Counter Using 3D Ubiquitous Stereo Vision
نویسندگان
چکیده
منابع مشابه
A Robust 3D Face Recognition Algorithm Using Passive Stereo Vision
The recognition performance of the conventional 3D face recognition algorithm using ICP (Iterative Closest Point) is degraded for the 3D face data with expression changes. Addressing this problem, we consider the use of the expression-invariant local regions of a face. We find the expression-invariant regions through the distance analysis between 3D face data with the neutral expression and smi...
متن کاملPeople detection and tracking using stereo vision and color
Introduction The system presented by this paper is designed to take advantage of newer stereo cameras to improve person detection and tracking. Additionally, color information is used to create a more robust tracking system. Finally, all of this must be done quickly so the system can be used in real time applications. Stereo camera system (instead of the popular single camera system) Color info...
متن کاملStereo Vision Using Cost-Relaxation with 3D Support Regions
In this paper a new stereo algorithm is presented for computing dense disparity maps from stereo image pairs using a cost relaxation approach, where the disparity map is the momentary state of a dynamic system. Following biologically motivated cooperative approaches a disparity space is defined with cooperating probability variables. In a first step a correlation based similarity measure is per...
متن کامل3D Object Recognition Using Segment-Based Stereo Vision
Abstract. We propose a new method to recognize 3D objects using segmentbased stereo vision. Predefined object models are compared with 3D boundaries which are extracted by the stereo vision. Boundaries may be straight lines, circular arcs and free-form curves. The models consist of the local shapes and the whole shapes of the boundaries. The models are constructed from samples of real objects o...
متن کاملMonte Carlo Localization in 3D Maps Using Stereo Vision
In this paper we present a Monte Carlo localization algorithm that exploits 3D information obtained by a trinocular stereo camera. First, we obtain a 3D map by estimating the optimal transformations between two consecutive views of the environment through the minimization of an energy function. Then, we use a particle-filter algorithm for addressing the localization in the map. For that purpose...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: The Journal of The Institute of Image Information and Television Engineers
سال: 2006
ISSN: 1881-6908,1342-6907
DOI: 10.3169/itej.60.1829