Recent Trends on Object Detection and Image Classification: A Review
Athira M.V., Diliya M Khan
Abstract
The area, object detection has seen a drastic development of algorithms and techniques over the past years. The arrival of deep learning has boosted the improvement in accuracy and performance of systems. This paper is a brief survey of several works developed so far in the field of image classification and object detection and a relative study of different methods. Survey is divided in three sub areas as Machine Learning based approach, Deep Learning based approach and object detection for night vision applications. A comparative table with the discussed works is also given.
Topics & Concepts
Object detectionComputer scienceArtificial intelligenceDeep learningObject (grammar)Table (database)Object-class detectionField (mathematics)Contextual image classificationComputer visionViola–Jones object detection frameworkMachine learningCognitive neuroscience of visual object recognitionImage (mathematics)Pattern recognition (psychology)Data miningFace detectionMathematicsFacial recognition systemPure mathematicsAdvanced Neural Network ApplicationsVideo Surveillance and Tracking MethodsAdvanced Image and Video Retrieval Techniques