Open AccessDOI
Kalman filter for vision tracking
TLDR
The capacity of the Kalman Filter to allow small occlusions and also the use of the extended Kalman filter (EKF) to model complex movements of objects are considered.Abstract:
The Kalman filter has been used successfully in different prediction applications or state determination of a system. One important field in computer vision is the object tracking. Different movement conditions and occlusions can hinder the vision tracking of an object. In this report we present the use of the Kalman filter in the vision tracking. We consider the capacity of the Kalman filter to allow small occlusions and also the use of the extended Kalman filter (EKF) to model complex movements of objects.read more
Citations
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Journal ArticleDOI
Rear-Lamp Vehicle Detection and Tracking in Low-Exposure Color Video for Night Conditions
TL;DR: A novel image processing system to detect and track vehicle rear-lamp pairs in forward-facing color video using a red-color threshold directly derived from automotive regulations and adapted for real-world conditions in the hue-saturation-value (HSV) color space is presented.
Journal ArticleDOI
Symmetry-based monocular vehicle detection system
Soo Siang Teoh,Thomas Bräunl +1 more
TL;DR: Experimental results on live video feed and pre-recorded video sequences for various road scenes showed that the system is able to detect multiple vehicles in real time.
Journal ArticleDOI
Visual object tracking via sample-based Adaptive Sparse Representation (AdaSR)
TL;DR: A new approach for visual object tracking based on Sample-Based Adaptive Sparse Representation (AdaSR), which ensures that the tracked object is adaptively and compactly expressed with predefined samples, which is better than those of several representative tracking methods.
Journal ArticleDOI
Detection of pedestrians in far-infrared automotive night vision using region-growing and clothing distortion compensation
TL;DR: A night-time pedestrian detection system based on automotive infrared video processing that adapts not just to variations between images or video frames, but to variations in appearance between different pedestrians in the same image or frame.
Journal ArticleDOI
Robust and Computationally Lightweight Autonomous Tracking of Vehicle Taillights and Signal Detection by Embedded Smart Cameras
TL;DR: The design and implementation of a robust and computationally lightweight algorithm for a real-time vision system, capable of detecting and tracking vehicle taillights, recognizing common alert signals using a vehicle-mounted embedded smart camera, and counting the cars passing on both sides of the vehicle.
References
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Book
Stochastic Processes and Filtering Theory
TL;DR: In this paper, a unified treatment of linear and nonlinear filtering theory for engineers is presented, with sufficient emphasis on applications to enable the reader to use the theory for engineering problems.
Book
Detection, Estimation, And Modulation Theory
TL;DR: Detection, estimation, and modulation theory, Detection, estimation and modulation theorists, اطلاعات رسانی کشاورزی .