A Novel Motion Detection Method Resistant to Severe Illumination Changes

12/11/2016
by   Sahar Yousefi, et al.
0

Recently, there has been a considerable attention given to the motion detection problem due to the explosive growth of its applications in video analysis and surveillance systems. While the previous approaches can produce good results, an accurate detection of motion remains a challenging task due to the difficulties raised by illumination variations, occlusion, camouflage, burst physical motion, dynamic texture, and environmental changes such as those on climate changes, sunlight changes during a day, etc. In this paper, we propose a novel per-pixel motion descriptor for both motion detection and dynamic texture segmentation which outperforms the current methods in the literature particularly in severe scenarios. The proposed descriptor is based on two complementary three-dimensional-discrete wavelet transform (3D-DWT) and three-dimensional wavelet leader. In this approach, a feature vector is extracted for each pixel by applying a novel three dimensional wavelet-based motion descriptor. Then, the extracted features are clustered by a clustering method such as well-known k-means algorithm or Gaussian Mixture Model (GMM). The experimental results demonstrate the effectiveness of our proposed method compared to the other motion detection approaches from the literature. The application of the proposed method and additional experimental results for the different datasets are available at (http://dspl.ce.sharif.edu/motiondetector.html).

READ FULL TEXT

page 4

page 5

page 6

page 7

page 8

page 9

page 10

page 11

research
11/15/2013

Periodicity Extraction using Superposition of Distance Matching Function and One-dimensional Haar Wavelet Transform

Periodicity of a texture is one of the important visual characteristics ...
research
01/10/2018

FWLBP: A Scale Invariant Descriptor for Texture Classification

In this paper we propose a novel texture recognition feature called Frac...
research
03/12/2015

Low-Level Features for Image Retrieval Based on Extraction of Directional Binary Patterns and Its Oriented Gradients Histogram

In this paper, we present a novel approach for image retrieval based on ...
research
05/24/2019

Deep Trajectory for Recognition of Human Behaviours

Identifying human actions in complex scenes is widely considered as a ch...
research
11/20/2020

Joint Representation of Temporal Image Sequences and Object Motion for Video Object Detection

In this paper, we propose a new video object detector (VoD) method refer...
research
05/13/2017

Motion-Compensated Temporal Filtering for Critically-Sampled Wavelet-Encoded Images

We propose a novel motion estimation/compensation (ME/MC) method for wav...
research
07/01/2022

Wavelet leader based formalism to compute multifractal features for classifying lung nodules in X-ray images

This paper presents and validates a novel lung nodule classification alg...

Please sign up or login with your details

Forgot password? Click here to reset