Object tracking on event cameras with offline–online learning
نویسندگان
چکیده
منابع مشابه
Object Tracking in Multiple Cameras with Disjoint
The specific problem we address in this chapter is object tracking over wide-areas such as an airport, the downtown of a large city or any large public area. Surveillance over these areas consists of the search for suspicious behavior such as persons loitering, unauthorized access, or persons attempting to enter a restricted zone. Until now, these surveillance tasks have been executed by human ...
متن کاملCooperative Object Tracking with Multiple PTZ Cameras
Research in visual surveillance systems is shifting from using few stationary, passive cameras to employing large heterogeneous sensor networks. One promising type of sensor in particular is the Pan-Tilt-Zoom (PTZ) camera, which can cover a potentially much larger area than passive cameras, and can obtain much higher resolution imagery through zoom capacity. In this paper, a system that can tra...
متن کاملDetection-assisted Object Tracking by Mobile Cameras
Tracking-by-detection is a class of new tracking approaches that utilizes recent development of object detection algorithms. This type of approach performs object detection for each frame and uses data association algorithms to associate new observations to existing targets. Inspired by the core idea of the tracking-by-detection framework, we propose a new framework called detection-assisted tr...
متن کاملRobust Object Tracking Based on Tracking-Learning-Detection
Current state-of-the-art methods for object tracking perform adaptive tracking-by-detection, meaning that a detector predicts the position of an object and adapts its parameters to the object’s appearance at the same time. While suitable for cases when the object does not disappear from the scene, these methods tend to fail on occlusions. In this work, we build on a novel approach called Tracki...
متن کاملMulti-Object Tracking Based on Tracking-Learning-Detection Framework
This paper shows the framework of robust long-term and real-time tracking of multi-object under dynamic background. Here multi-object means either the same types or totally different types. For each tracked object a classifier corresponding to the object is trained on-line using positive and negative constraints inside local region. An external Detector module is integrated into the framework t...
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: CAAI Transactions on Intelligence Technology
سال: 2020
ISSN: 2468-2322,2468-2322
DOI: 10.1049/trit.2019.0107