Tracking Objects in Video with Particle Filters

ofrecido por
Coursera Project Network
En este proyecto guiado, tú:

C​ode a particle filter from scratch in Python and use it to track a target in a real-world video.

Clock1 hour
AdvancedAvanzado
CloudNo se necesita descarga
VideoVideo de pantalla dividida
Comment DotsInglés (English)
LaptopSolo escritorio

In this one hour long project-based course, you will tackle a real-world computer vision problem. We will be locating and tracking a target in a video shot with a digital camera. We will encounter some of the classic challenges that make computer vision difficult: noisy sensor data, objects that change shape, and occlusion (object hidden from view). We will tackle these challenges with an artificial intelligence technique called a particle filter. By the end of this project, you will have coded a particle filter from scratch using Python and numpy. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

Habilidades que desarrollarás

  • Particle Filter
  • Opencv
  • Artificial Intelligence (AI)
  • Python Programming
  • Numpy

Aprende paso a paso

En un video que se reproduce en una pantalla dividida con tu área de trabajo, tu instructor te guiará en cada paso:

  1. Load video frames

  2. Display video frames

  3. Initialize a particle filter

  4. Compute errors

  5. Compute weights and resample

  6. Apply noise

  7. Optimize the particle filter

Cómo funcionan los proyectos guiados

Tu espacio de trabajo es un escritorio virtual directamente en tu navegador, no requiere descarga.

En un video de pantalla dividida, tu instructor te guía paso a paso

Preguntas Frecuentes

Preguntas Frecuentes

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