OBJECT DETECTION AND TRACKING USING SSD ALGORITHM

OBJECT DETECTION AND TRACKING USING SSD ALGORITHM

A systematic and exact detection of an object is a foremost point in computer vision technology, With the unfolding of recent deep learning techniques, the precision of detecting an object has increased greatly thereby igniting the interest in this area to large extent.

The main aim is to integrate the state of-the-art deep learning method on pedestrian object detection in real-time with improved accuracy. One of the crucial problems in deep learning is using computer vision techniques, which tend to slow down the process with trivial performance.

The network used is trained on a challenging data set and the output obtained is fast and precise which is helpful for the application that requires object detection.

ADVANTAGES:

1. Faster detection and recognisation using pretrained model

2. The layer of the model is increase Feature extraction with saliency mapping