Tap the link to watch the podcast on "How to select the right testing scenario for your people detection system based on use cases?"

Link: https://youtu.be/eMQWXilx2do

Check out VisAI Labs blog on "An overview of people/human tracking methodologies." 

Link: https://visailabs.com/an-overview-of-people-human-tracking-methodologies/ 

People/human tracking and detection is a relatively recent advancement that is gaining interest in real-time tracking applications such as surveillance, human-robot interaction, driving assistance, remote surgery, and traffic control. This advancement's main aim is to shift human visual processing capacity to computers. 

Several studies have been conducted to open up a new frontier of artificial intelligence by using the scene's 2D and 3D visual elements.  This podcast will cover several concepts like people detection parameters:  this incorporates speed and accuracy. And other major testing scenarios such as database testing which has, implicit test that includes invariance and minimum functional test and real-time deployment testing that has motion-based sample testing and person count based sample testing.  

In the light of this, In this podcast, we provide you with finite answers to the following questions: 

• What are the different types of dataset based testing? 

• How to use invariance and minimum function test? 

• What are the practical limitations of real-time deployment testing? 

• How to manage the practical limitations of real-time deployment testing? 

• When to do motion-based and people based sample testing?  

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