A survey study on detecting and tracking objective methods
M. Ramasubramanian, Muralidhar Rangaswamy, G. N. V. Raja Reddy
- 发表年份
- 2014
- 引用次数
- 8
摘要
The purpose of prosecution is segmentation feature a region of interest in a video scene and retention proposal, positioning and locking. Object detection and classification of objects are preceded steps for tracking an object in the image sequence. Object detection is done to check for objects in the video and find out exactly what the object. Then the detected object can be classified into different categories, such as people, vehicles, birds, clouds floating, swaying trees and other moving objects. Object Tracking is performed using spatial and temporal changes of items during a video monitoring, including presence, position, size, shape, etc. The object is used in several applications such as video surveillance, robot vision, monitoring traffic Video and Animation painting. This paper presents a brief overview of object detection, object classification and object tracking different algorithms available in the literature, including the analysis and comparative study of the various techniques used at various stages of prosecution.
关键词
相关论文
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991
A new optimizer using particle swarm theory
R.C. Eberhart, James Kennedy
2002