Arguably, the most crucial task of a Deep Learning based Multiple Object Tracking (MOT) is not to identify an object, but to re-identify it after occlusion. There are a plethora of trackers available ...
Understanding Multiple Object Tracking using DeepSORT
Surveillance cameras plays an essential role in securing our home or business. These cameras are super affordable. So is setting up a surveillance system. The only difficult and expensive part is the ...
Model Selection and Benchmarking with Modelplace.AI
In this post, we will learn how to select the right model using Modelplace.AI. Selecting the right model will make your application faster, help you scale it to millions of requests, and save a ton ...
Creating a Virtual Pen And Eraser with OpenCV
Wouldn't it be cool if you could just wave a pen in the air to draw something virtually and it actually draws it on the screen? It could be even more interesting if we didn't use any special hardware ...
Gaze Tracking
In today's post, we are covering the topic of Gaze Estimation and Tracking. I was invited to give a talk on the subject at a workshop on Eye Tracking for AR and VR organized by Facebook Research ...
Faster R-CNN Object Detection with PyTorch
1. Image Classification vs. Object Detection Image Classification is a problem where we assign a class label to an input image. For example, given an input image of a cat, the output of an image ...
