Object Detection and Visual Innovation using AR

Visual Object Detection using Frequent Pattern Mining

Object search in a visual scene is a highly challenging and computationally intensive task. Most of the current object detection techniques extract features from images for classification. From the results of these techniques it can be observed that the feature extraction approach works well for single images but are not sufficient for generalizing over a variety of object instances of the same...

Object Category Detection Using Audio-Visual Cues

Categorization is one of the fundamental building blocks of cognitive systems. Object categorization has traditionally been addressed in the vision domain, even though cognitive agents are intrinsically multimodal. Indeed, biological systems combine several modalities in order to achieve robust categorization. In this paper we propose a multimodal approach to object category detection, using au...

Traffic Analysis Using Visual Object Detection and Tracking

Smart transportation based on big data traffic analysis is an important component of smart city. With millions of ubiquitous street cameras and intelligent analyzing algorithms, public transit systems of the next generation can be safer and smarter. We participated the IEEE Smart World 2017 NVIDIA AI City Challenge which consists of two tracks of contests that serve this spirit. In Track 1 cont...

Handhold Object Detection and Event Analysis Using Visual Interaction Clues

Visual Attention Region Detection Using Texture, Object Features

Human perception tends to firstly pick attended regions, which correspond to prominent objects in an image. Visual attention region detection simulates the behavior of the human visual system (HVS) and detects regions of interest (ROIs) in the image. In this study, a visual attention region detection approach using low-level texture and object features is proposed. The new and improved (shifted...