Scholarlink

This research delves into the realm of AI that receives special consideration to tracking and detecting objects in real-time. The paper emphasizes the significance of the SSD algorithm, which has the VGG-16 architecture as its foundation, and the introduction of the MobiNets algorithm in the advancement of picture recognition. Techniques include optical flow, frame differencing, and the novel combination of background subtraction and Deep-Neural-Networks. Results from simulations using the SSD method built into OpenCV demonstrate high confidence real-time tracking and detection of a variety of objects. After training on eighteen distinct classes, the model demonstrates an astounding 96% average accuracy rate. The goal of the paper is to present a thorough overview of the emerging field of artificial intelligence for real-time computer vision systems, including theoretical underpinnings, algorithmic nuances, and practical applications.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Real-Time Object Detection and Tracking Using Mobinet and SSD Algorithms

  • 会议论文

  • 发表日期：

    2025年

查看全文
  • Arbeena Hassan,
  • Anuritha Juturu,
  • Snigdha Sen,
  • Reshma Dsouza

摘要

This research delves into the realm of AI that receives special consideration to tracking and detecting objects in real-time. The paper emphasizes the significance of the SSD algorithm, which has the VGG-16 architecture as its foundation, and the introduction of the MobiNets algorithm in the advancement of picture recognition. Techniques include optical flow, frame differencing, and the novel combination of background subtraction and Deep-Neural-Networks. Results from simulations using the SSD method built into OpenCV demonstrate high confidence real-time tracking and detection of a variety of objects. After training on eighteen distinct classes, the model demonstrates an astounding 96% average accuracy rate. The goal of the paper is to present a thorough overview of the emerging field of artificial intelligence for real-time computer vision systems, including theoretical underpinnings, algorithmic nuances, and practical applications.