Object tracking towards data science

1. What is object detection towards data science?
2. Which algorithm is best for object tracking?
3. Which CNN model is best for object detection?

What is object detection towards data science?

Object classification

We extract all visual features to bounding boxes and evaluate each bounding box on the region proposals. This includes kernels and histogram functions. For every shape we will calculate the regressor to check how deviate the ground truth with the anchor.

Which algorithm is best for object tracking?

DeepSORT is one of the most popular object tracking algorithms. It is an extension to Simple Online Real-time Tracker or SORT, which is an online-based tracking algorithm. SORT is an algorithm that uses the Kalman filter for estimating the location of the object given the previous location of the same.

Which CNN model is best for object detection?

R-CNN – Region-based Convolutional Neural Networks

Region-based convolutional neural networks or regions with CNN features (R-CNNs) are pioneering approaches that apply deep models to object detection.