Object Detection Video

Detecting objects in videos and camera feeds using Keras, OpenCV, and ImageAI

Object detection is a branch of Computer Vision, in which visually observable objects that are in images of videos can be detected, localized, and recognized by computers. An image is a single frame that captures a single-static instance of a naturally occurring event 

On the other hand, a video contains many instances of static images displayed in one second, inducing the effect of viewing a naturally occurring event.

To do that, we need a Python library called ImageAI and install the following dependencies:

i. TensorFlow (tensorflow)
ii. Numpy (numpy)
iii. SciPy (scipy)
iv. OpenCV (opencv-python)
v. Pillow (pillow)
vi. Matplotlib (matplotlib)
vii. H5py (h5py)
viii. Keras (keras)
ix. ImageAI 

We use trained YOLOv3 computer vision model to perform the detection and recognition tasks.

My example cam be watched here:

The code program to my example is here, on Github:

https://github.com/MRobalinho/Object-Detection-Video