Daisaku Arita

Publications166
h-index16
Citations851
Highly Influential Citations26
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  • Publications
  • Influence
Dynamic Control of Adaptive Mixture-of-Gaussians Background Model
TLDR
We propose a method for create a background model in non-stationary scenes. Expand
  • 102
  • 7
  • PDF
Appearance-based Recognition of Hand Shapes for Sign Language in Low Resolution Image
  • 19
  • 3
A fast algorithm for adaptive background model construction using parzen density estimation
TLDR
We present fast estimation of the probability density function (PDF) of pixel value using Parzen density estimation and foreground object detection based on the estimated PDF. Expand
  • 47
  • 3
An Easy-to-Setup 3D Phenotyping Platform for KOMATSUNA Dataset
TLDR
We present a 3D phenotyping platform that measures both plant growth and environmental information in small indoor environments for plant image datasets. Expand
  • 16
  • 3
  • PDF
Non-parametric Background and Shadow Modeling for Object Detection
TLDR
We propose a fast algorithm to estimate background models using Parzen density estimation in non-stationary scenes and apply it to cast-shadow modeling. Expand
  • 24
  • 2
Towards Robust Object Detection: Integrated Background Modeling Based on Spatio-temporal Features
TLDR
We propose a sophisticated method for background modeling based on spatio-temporal features that realizes robust object detection under varying illumination, which is shown in several experiments. Expand
  • 25
  • 2
A Real-Time Distributed Video Image Processing System on PC-Cluster
TLDR
This paper describes a PC-cluster system for real-time distributed video image processing. Expand
  • 10
  • 2
Real-time 3D Hand Shape Estimation based on Image Feature Analysis and Inverse Kinematics
TLDR
We propose a multiple view system to obtain hand features, with using previous information that facilitates very robust feature extraction. Expand
  • 8
  • 2
Real-time Motion Capture System with Multiple Cameras
  • 5
  • 1
Increment and Decrement of Gaussians in Adaptive Mixture-of-Gaussian Background Models
  • 5
  • 1