A Hybrid Camera System for high-resolutionization of Target Objects in Omnidirectional Images

Chinthaka Premachandra, Masaya Tamaki

Research output: Contribution to journalArticlepeer-review

Abstract

Recent improvements in cameras and image processing techniques have advanced research on object detection and classification. The cameras capable of capturing omnidirectional images are advantageous for detecting surrounding objects, we focus on their usage method. Omnidirectional camera images generally have lower resolution than available cameras, leading to difficulty in identifying objects farther from the camera. To address this problem, we propose a hybrid camera system that first detects indistinct target regions during omnidirectional viewing, then uses a pan–tilt camera to capture a high-resolution image of the target. We also propose an algorithm for reducing the number of required complementary shots to realize efficient shooting.

Original languageEnglish
JournalIEEE Sensors Journal
DOIs
Publication statusAccepted/In press - 2021

Keywords

  • Cameras
  • High-resolution Image Capturing
  • Hybrid Camera System
  • Image color analysis
  • Image resolution
  • Imaging
  • Indistinct Image Region
  • Object detection
  • Object recognition
  • Omnidirectional camera
  • PT Camera Control
  • Surveillance

ASJC Scopus subject areas

  • Instrumentation
  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'A Hybrid Camera System for high-resolutionization of Target Objects in Omnidirectional Images'. Together they form a unique fingerprint.

Cite this