Tracking and Identifying Multiple People in Multiple Camera Images.
نویسندگان
چکیده
منابع مشابه
Identifying Body Parts of Multiple People in Multi-Camera Images
In order to track and recognize the movements of multiple people using multiple cameras, each person needs to be segmented and identified in the image of each camera. We propose a method that tracks multiple people and identifies their body parts in multiple camera images. Estimation of the human positions and identification among the multiple cameras is mainly based on the silhouettes method c...
متن کاملOnline multiple people tracking-by-detection in crowded scenes
Multiple people detection and tracking is a challenging task in real-world crowded scenes. In this paper, we have presented an online multiple people tracking-by-detection approach with a single camera. We have detected objects with deformable part models and a visual background extractor. In the tracking phase we have used a combination of support vector machine (SVM) person-specific classifie...
متن کاملMultiple camera people detection and tracking using support integration
This paper proposes a method to locate and track people by combining evidence from multiple cameras using the homography constraint. The proposed method use foreground pixels from simple background subtraction to compute evidence of the location of people on a reference ground plane. The algorithm computes the amount of support that basically corresponds to the “foreground mass” above each pixe...
متن کاملMultiple Camera Tracking
Tracking of humans or objects within a scene has been studied extensively. We present a multiple camera system for object tracking. The system employs uncalibrated cameras and depends on the motion-tracking algorithm to achieve both point correspondence and image registration. The system is capable of switching between different cameras to achieve the best tracking conditions of the object. A s...
متن کاملTracking Multiple People with a Multi-Camera System
We present a multi-camera system based on Bayesian modality fusion to track multiple people in an indoor environment. Bayesian networks are used to combine multiple modalities for matching subjects between consecutive image frames and between multiple camera views. Unlike other occlusion reasoning methods, we use multiple cameras in order to obtain continuous visual information of people in eit...
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: 2003
ISSN: 1881-6908,1342-6907
DOI: 10.3169/itej.57.490