s.Sina ShiriENGINEER & BUILDER
Computer visionPrototype

Aerial Object Tracking

C++ and OpenCV prototypes exploring the detection and tracking of selected objects in aerial imagery.

My contribution

Computer-vision prototypes and concept documentation

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Concept illustration
AI-generated educational illustration of a sphere, cube and cylinder viewed from above, with object-tracking outlines and a motion trail.
Object-tracking concept illustration, generated with AI. Geometric objects explain the idea; this is not an image of the prototype.
ENGINEERING HIGHLIGHTS

What stands out.

  • Moving & selected-object prototypes
  • C++ vision implementation
  • Collaborative invention documentation
Project overview

From the problem to the implementation.

The problem

Aerial imagery can support more autonomous sensing when relevant objects can be identified and tracked over time.

The approach

  • Explored detection and tracking of moving and selected stationary objects.
  • Used C++ and OpenCV to process aerial-video imagery.
  • Contributed to invention documentation connecting visual information with a UAV-control concept.

What came together

Computer-vision prototypes and concept documentation forming a foundation for further embedded-vision research.

A closer look

1 image

AI-generated educational illustration of a sphere, cube and cylinder viewed from above, with object-tracking outlines and a motion trail.Enlarge image
Object-tracking concept illustration, generated with AI. Geometric objects explain the idea; this is not an image of the prototype.

Aerial Object Tracking

AI-generated educational illustration of a sphere, cube and cylinder viewed from above, with object-tracking outlines and a motion trail.

Object-tracking concept illustration, generated with AI. Geometric objects explain the idea; this is not an image of the prototype.

System view

How the system works

Aerial imagery

Video frames provide the input to the prototype.

Object selection/detection

C++/OpenCV work identifies moving or selected stationary objects.

Tracking

Visual information is followed over time.

UAV-control concept

A conceptual link from extracted visual information to onboard UAV decisions.

Technical notes

The detail behind the build

Detection and tracking in aerial imagery

C++/OpenCV prototypes explore moving objects and selected stationary objects in aerial video, connecting computer vision with autonomous sensing.

Visual information for more autonomous decisions

The project concept considers how extracted visual information could support onboard UAV decisions and reduce dependence on a human operator and continuous ground communication.

A collaborative concept

The invention documentation names Hossein Niromandi and Sina Shiri. The work combines image processing, electronics and machine vision in an aerial-sensing context.

Implementation

Software, hardware & tools.

Software

  • C++ computer-vision prototypes

Technology stack

  • Computer vision
  • Object tracking
  • C++
Shared work

Project contributions.

Hossein Niromandi
Co-inventor
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