Model-Free Video Detection and Tracking of Pedestrians and Bicyclists

2009 ◽  
Vol 24 (3) ◽  
pp. 157-168 ◽  
Author(s):  
Yegor Malinovskiy ◽  
Jianyang Zheng ◽  
Yinhai Wang
Keyword(s):  
Model Free ◽  
Detection And Tracking ◽  
Video Detection

Detection and Tracking of Moving Obstacles (DATMO): A Review

Robotica ◽  
2019 ◽  
Vol 38 (5) ◽  
pp. 761-774 ◽  
Author(s):  
Ángel Llamazares ◽  
Eduardo J. Molinos ◽  
Manuel Ocaña
Keyword(s):  
Mobile Robots ◽  
State Of The Art ◽  
Indoor Environments ◽  
Local Planning ◽  
Planning Stage ◽  
Moving Obstacles ◽  
Model Free ◽  
Detection And Tracking ◽  
Free Model ◽  
Grid Based

SummaryWorking with mobile robots, prior to execute the local planning stage, they must know the environment where they are moving. For that reason the perception and mapping stages must be performed previously. This paper presents a survey in the state of the art in detection and tracking of moving obstacles (DATMO). The aim of what follows is to provide an overview of the most remarkable methods at each field specially in indoor environments where dynamic obstacles can be potentially more dangerous and unpredictable. We are going to show related DATMO methods organized in three approaches: model-free, model-based and grid-based. In addition, a comparison between them and conclusions will be presented.

Model-free detection and tracking of dynamic objects with 2D lidar

2015 ◽  
Vol 34 (7) ◽  
pp. 1039-1063 ◽  
Author(s):  
Dominic Zeng Wang ◽  
Ingmar Posner ◽  
Paul Newman
Keyword(s):  
Model Free ◽  
Detection And Tracking ◽  
Dynamic Objects

scholarly journals Moving Object Detection and Tracking with Doppler LiDAR

2019 ◽  
Vol 11 (10) ◽  
pp. 1154 ◽  
Author(s):  
Yuchi Ma ◽  
John Anderson ◽  
Stephen Crouch ◽  
Jie Shan
Keyword(s):  
Moving Objects ◽  
Spatial Information ◽  
Region Growing ◽  
Point Clouds ◽  
Dynamic State ◽  
Doppler Lidar ◽  
Model Free ◽  
Detection And Tracking ◽  
Track Association ◽  
Moving Points

In this paper, we present a model-free detection-based tracking approach for detecting and tracking moving objects in street scenes from point clouds obtained via a Doppler LiDAR that can not only collect spatial information (e.g., point clouds) but also Doppler images by using Doppler-shifted frequencies. Using our approach, Doppler images are used to detect moving points and determine the number of moving objects followed by complete segmentations via a region growing technique. The tracking approach is based on Multiple Hypothesis Tracking (MHT) with two extensions. One is that a point cloud descriptor, Oriented Ensemble of Shape Function (OESF), is proposed to evaluate the structure similarity when doing object-to-track association. Another is to use Doppler images to improve the estimation of dynamic state of moving objects. The quantitative evaluation of detection and tracking results on different datasets shows the advantages of Doppler LiDAR and the effectiveness of our approach.

Video Detection and Tracking of Tracer Particles in a Model Packed-Bed Reactor

1977 ◽  
Vol 26 (2) ◽  
pp. 88-91 ◽  
Author(s):  
Jerry L. Stephenson ◽  
James A. Wiedenhoeft ◽  
James R. Vallino ◽  
Jon D. Warden ◽  
Philip J. Brulla ◽  
...  
Keyword(s):  
Packed Bed ◽  
Packed Bed Reactor ◽  
Detection And Tracking ◽  
Tracer Particles ◽  
Video Detection
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