Exploiting Adaptive Background Image and Dynamic Search Window for Fast Object Tracking

Abstract

Recently, due to the interest for personal safety, intelligent image recognition technology using the CCTV has received a lot of attention in many areas. Real-time video

A Method of Robust Pedestrian Tracking in Video Sequences Based on Interest Point Description

“…It is very important for object tracking to extract and describe the effective features of the object. Jung proposed fast object tracking algorithm by using adaptive background image and dynamic search window [11]. The scale invariant feature transform (SIFT) algorithm is used to detect and describe local features in images that was proposed by Lowe [12].…”

Masking-based Reinforced Edges for Blur Images

“…And this causes in unpredictable and unwanted deformities, especially in uniform areas of even slightly noisy images. In addition, unsharp masking process can overimproves high contrast areas, and eventually images are not well showed [15][16][17][18].…”

An Adaptive Variable Block for Median Filter

“…Among them, low pass filtering, median filtering, or rank-order filtering methods are effective to remove additive noise (salt and pepper noise or Gaussian noise) [7][8][9][10]. The speckle noise or periodic noise can be removed in frequency domain by using band reject filtering or notch filtering [11][12][13]. Among them, the median filtering method has been the most widely used for denoising noisy images [14][15][16][17].…”