Real Time Object Detection using CNN

Real-time Moving Object Detection using SURF

Tracking and traffic monitoring are main application of moving Object detection in video. This paper presents SURF (Speed-Up Robust Features) algorithm and real-time detection of objects using frame difference. The main purpose of this proposed work is to solve the difficulty of modeling background and its update rate in background subtraction method. SURF is having fast processing technique to...

Real-time Object Detection Using Distance Transforms

This paper presents an e cient shape-based object detection method using Distance Transforms (DTs). The proposed method extends previous DT-based matching techniques by using multiple features and a template hierarchy associated with a coarse-tone search over the template transformation parameters. Signi cant speed-up factors are typically obtained when comparing the proposed hierarchical metho...

Real-time scalable object detection

Real-time, scalable, multi-view object detection is an active area of research, particularly in robot vision community. An efficient template-based object detection algorithm has recently been proposed [1] that utilizes both color and depth information, and works on texture-less objects. However, the approach scales linearly with the number of objects and views. This project explores a variatio...

Robust Real-time Object Detection

This paper describes a visual object detection framework that is capable of processing images extremely rapidly while achieving high detection rates. There are three key contributions. The first is the introduction of a new image representation called the “Integral Image” which allows the features used by our detector to be computed very quickly. The second is a learning algorithm, based on Ada...

Detection of Congenital Mullerian Anomalies Using Real-Time 3D Sonography