منابع مشابه
Distributed Sensor Fusion for Object Tracking
In a dynamic situation like robot soccer any individual player can only observe a limited portion of their environment at any given time. As such to develop strategies based upon planning and cooperation between different players it is imperative that they be able to share information which may or may not be in any individual player’s field of vision. In this paper we propose a method for multi...
متن کاملConvolutional Gating Network for Object Tracking
Object tracking through multiple cameras is a popular research topic in security and surveillance systems especially when human objects are the target. However, occlusion is one of the challenging problems for the tracking process. This paper proposes a multiple-camera-based cooperative tracking method to overcome the occlusion problem. The paper presents a new model for combining convolutiona...
متن کاملMulti-model Component-Based Tracking Using Robust Information Fusion
One of the most difficult aspects of visual object tracking is the handling of occlusions and target appearance changes due to variations in illumination and viewing direction. To address these challenges we introduce a novel tracking technique that relies on component-based target representations and on robust fusion to integrate model information across frames. More specifically, we maintain ...
متن کاملObject Tracking Using Adaptive Object Color Modeling
This paper presents an object tracking method based on the object and background color. A three dimensional feature vector is used to describe color feature (R, G, B) of each pixel. A quantized histogram of that feature value of pixels on the selected object and a quantized histogram of pixels from the neighborhood surrounding the object are developed. The RGB based joint probability density fu...
متن کاملStatistical Information Fusion for Multiple-View Sensor Data in Multi-Object Tracking
This paper presents a novel statistical information fusion method to integrate multiple-view sensor data in multi-object tracking applications. The proposed method overcomes the drawbacks of the commonly used Generalized Covariance Intersection method, which considers constant weights allocated for sensors. Our method is based on enhancing the Generalized Covariance Intersection with adaptive w...
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: Journal of Korean institute of intelligent systems
سال: 2008
ISSN: 1976-9172
DOI: 10.5391/jkiis.2008.18.5.666