Science Daily

Towards more accurate 3D object detection for robots and self-driving cars

Robots and autonomous vehicles can use 3D point clouds from LiDAR sensors and camera images to perform 3D object detection. However, current techniques that combine both types of data struggle to ...
TechRepublic

Object Tracking Techniques for Video Tracking: A Survey

Object detection and tracking are the tasks that are important and challenging in various computer vision applications such as surveillance, vehicle navigation, and autonomous robot navigation. Video ...
VentureBeat

Overview of deep learning architectures computers use to detect objects

Deep neural networks have gained fame for their capability to process visual information. And in the past few years, they have become a key component of many computer vision applications. Among the ...
The Next Web

Here’s how deep learning helps computers detect objects

Deep neural networks have gained fame for their capability to process visual information. And in the past few years, they have become a key component of many computer vision applications. Among the ...
Phys.org

Mimicking the reflexive detection ability of the animal visual system for computer detection of moving objects

The detection of moving objects is one of the most fundamental and important mechanisms of the animal visual system, having evolved to quickly detect both predators and prey. Yet reproducing the ...