Data Fusion-Based Multi-Object Tracking for Unconstrained Visual Sensor Networks
نویسندگان
چکیده
منابع مشابه
Multi-step Entropy Based Sensor Control for Visual Object Tracking
We describe a method for selecting optimal actions affecting the sensors in a probabilistic state estimation framework, with an application in selecting optimal zoom levels for a motor-controlled camera in an object tracking task. The action is selected to minimize the expected entropy of the state estimate. The contribution of this paper is the ability to incorporate varying costs into the act...
متن کاملMulti-Focus Image Fusion in DCT Domain using Variance and Energy of Laplacian and Correlation Coefficient for Visual Sensor Networks
The purpose of multi-focus image fusion is gathering the essential information and the focused parts from the input multi-focus images into a single image. These multi-focus images are captured with different depths of focus of cameras. A lot of multi-focus image fusion techniques have been introduced using considering the focus measurement in the spatial domain. However, the multi-focus image ...
متن کاملA Multi-agent Architecture Based on the BDI Model for Data Fusion in Visual Sensor Networks
The newest surveillance applications attempt more complex tasks such as the analysis of the behavior of individuals and crowds. These complex tasks may use a distributed visual sensor network in order to gain coverage and exploit the inherent redundancy of the overlapped field of views. In this article, a Multi-agent architecture based on the Belief-Desire-Intention (BDI) model for processing t...
متن کاملDistributed 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 کاملFusion of Multimodal Visual Cues for Model-Based Object Tracking
While many robotic applications rely on visual tracking, conventional single-cue algorithms typically fail outside limited tracking conditions. Fusion of multimodal visual cues with complementary failure modes allows tracking to continue despite losing individual cues. While previous applications have addressed multi-cue 2D featurebased tracking, this paper develops a fusion scheme for 3D model...
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: IEEE Access
سال: 2018
ISSN: 2169-3536
DOI: 10.1109/access.2018.2812794