Preceding Vehicle Tracking using Particle Filter on the basis of the Shadow Likelihood and the Vehicle Likelihood

2019 ◽  
Vol 139 (11) ◽  
pp. 585-595
Author(s):  
Hiroto Seki ◽  
Takashi Izumi ◽  
Hiroyuki Hosono
Keyword(s):  
Particle Filter ◽  
Vehicle Tracking ◽  
Preceding Vehicle

scholarly journals Particle Filter with Gaussian Weighting for Vehicle Tracking

2011 ◽  
Vol 15 (6) ◽  
pp. 681-686
Author(s):  
Indah Agustien Siradjuddin ◽  
◽  
Muhammad Rahmat Widyanto ◽  
Keyword(s):  
Particle Filter ◽  
Object Tracking ◽  
Gaussian Distribution ◽  
Likelihood Function ◽  
Target Object ◽  
Video Data ◽  
Vehicle Tracking ◽  
Computational Time ◽  
Filter Method ◽  
Vehicle Motion

To track vehicle motion in data video, particle filter with Gaussian weighting is proposed. This method consists of four main stages. First, particles are generated to predict target’s location. Second, certain particles are searched and these particles are used to build Gaussian distribution. Third, weight of all particles is calculated based on Gaussian distribution. Fourth, particles are updated based on each weight. The proposed method could reduce computational time of tracking compared to that of conventional method of particle filter, since the proposed method does not have to calculate all particles weight using likelihood function. This method has been tested on video data with car as a target object. In average, this proposed method of particle filter is 60.61% times faster than particle filter method meanwhile the accuracy of tracking with this newmethod is comparable with particle filter method, which reach up to 86.87%. Hence this method is promising for real time object tracking application.

On-road multi-vehicle tracking algorithm based on an improved particle filter

2015 ◽  
Vol 9 (4) ◽  
pp. 429-441 ◽  
Author(s):  
Peixun Liu ◽  
Wenhui Li ◽  
Ying Wang ◽  
Hongyin Ni
Keyword(s):  
Particle Filter ◽  
Tracking Algorithm ◽  
Vehicle Tracking

Visual Vehicle Tracking via Deep Learning and Particle Filter

2020 ◽  
pp. 517-526
Author(s):  
Hamd Ait Abdelali ◽  
Omar Bourja ◽  
Rajae Haouari ◽  
Hatim Derrouz ◽  
Yahya Zennayi ◽  
...  
Keyword(s):  
Deep Learning ◽  
Particle Filter ◽  
Vehicle Tracking
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