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Soft Computing based object detection and tracking approaches: State-of-the-Art survey
- Source :
- Applied Soft Computing. 70:423-464
- Publication Year :
- 2018
- Publisher :
- Elsevier BV, 2018.
-
Abstract
- In recent years, analysis and interpretation of video sequences to detect and track objects of interest had become an active research field in computer vision and image processing. Detection and tracking includes extraction of moving object from frames and continuous tracking it thereafter forming persistent object trajectories over time. There are some really smart techniques proposed by researchers for efficient and robust detection or tracking of objects in videos. A comprehensive coverage of such innovative techniques for which solutions have been motivated by theories of soft computing approaches is proposed. The main objective of this research investigation is to study and highlight efforts of researchers who had conducted some brilliant work on soft computing based detection and tracking approaches in video sequence. The study is novel as it traces rise of soft computing methods in field of object detection and tracking in videos which has been neglected over the years. The survey is compilation of studies on neural network, deep learning, fuzzy logic, evolutionary algorithms, hybrid and recent innovative approaches that have been applied to field of detection and tracking. The paper also highlights benchmark datasets available to researchers for experimentation and validation of their own algorithms. Major research challenges in the field of detection and tracking along with some recommendations are also provided. The paper provides number of analyses to guide future directions of research and advocates for more applications of soft computing approaches for object detection and tracking approaches in videos. The paper is targeted at young researchers who will like to see it as platform for introduction to a mature and relatively complex field. The study will be helpful in appropriate use of an existing method for systematically designing a new approach or improving performance of existing approaches.
- Subjects :
- Soft computing
0209 industrial biotechnology
Artificial neural network
business.industry
Computer science
Deep learning
Evolutionary algorithm
02 engineering and technology
Object (computer science)
Machine learning
computer.software_genre
Fuzzy logic
Object detection
Field (computer science)
020901 industrial engineering & automation
0202 electrical engineering, electronic engineering, information engineering
Benchmark (computing)
020201 artificial intelligence & image processing
Artificial intelligence
business
computer
Software
Subjects
Details
- ISSN :
- 15684946
- Volume :
- 70
- Database :
- OpenAIRE
- Journal :
- Applied Soft Computing
- Accession number :
- edsair.doi...........cff3e87775f4d46f583755e5e4608efa