Abstract
Object detection problem is a considerable research field that is being developed through continuous research. Simulated victims (dolls) detection performances of 2 different methods are given in the scope of this work. While deformable part model method is performing high accuracy and speed to detect object, with growing and remarkable popularity, deep learning method is noteworthy with higher performance results. This work mentions about the advantages and disadvantages of both methods and gives experimental results on a simulated environment.
Keywords
Popularity
Computer science
Object detection
Artificial intelligence
Scope (computer science)
Deep learning
Field (mathematics)
Object (grammar)
Computer vision
Machine learning
Research Object
Work (physics)
Pattern recognition (psychology)
Engineering
Mathematics
Subject Areas
Advanced Neural Network Applications
·Computer Vision and Pattern Recognition ·Physical Sciences
Industrial Vision Systems and Defect Detection
·Industrial and Manufacturing Engineering ·Physical Sciences
Video Surveillance and Tracking Methods
·Computer Vision and Pattern Recognition ·Physical Sciences
Citations by Year
2019: 1
OpenAlex SDG Match
SDGs auto-classified by OpenAlex (score ≥ 0.4 shown).
Peace, Justice and strong institutions 46%
Gender equality 43%
Loading…
Loading…