As new rendering technologies appear, complex yet accurate methods for visual simulation are used. This can mean a performance overkill though, as such accuracy isn't required often. It's important to keep an eye in old hardware and other not­so­ capable devices (PDAs, cell phones...), as well as performance­ critical applications, which may prefe...

An Automated Video Surveillance system is presented in this paper. The system aims at tracking an object in motion and classifying it as a Human or Non-Human entity, which would help in subsequent human activity analysis. The system employs a novel combination of an Adaptive Background Modeling Algorithm (based on the Gaussian Mixture Model) and a Human Detection for Surveillance (HDS) System. ...

The development of automatic analysis and classification methods for large databases of X-ray images is a pressing need that may have a great impact on clinical practice. To advance this objective the ImageCLEF-2015 clustering of body part X-ray images challenge was created. The aim of the challenge is to group digital X-ray images into five structural groups: head-neck, upper-limb, body, lower...

We implement lane detection using edge detection, Hough transforms, and vanishing point filtering in Hough space; the car detection is implemented by using histogram of oriented gradients feature descriptors and classified by linear support vector machines. Hard-negative mining is applied to alleviate detection of false positives; with the information of vanishing point along with prior knowled...

Content based image retrieval is the technique to retrieve similar images from a database that are visually similar to a given query image. It is an active and emerging research field in computer vision. In our proposed system, the Interest points based Histogram of Oriented Gradients (HOG) feature descriptor is used to retrieve the relevant images from the database. The dimensionality of the H...

Crowdsourcing annotation is a recent development since a complete and elaborate annotation of the content of an image is an extremely labour-intensive and time consuming task. In this paper we examine the possibility to build accurate visual models for keywords created through crowdsourcing. Specifically, 8 different keywords related to athletics domain have been modelled using MPEG-7 and Histo...

Pattern clustering is an important data analysis process useful in a wide spectrum of computer vision applications. In addition to choosing the appropriate clustering methods, particular attention should be paid to the choice of the features describing patterns in order to improve the clustering performance. This paper presents a novel feature descriptor, referred as Histogram of Structure Tens...

With the development of low cost aerial optical sensors having a spatial resolution in the range of few centimetres, the traffic monitoring by plane receives a new boost. The gained traffic data are very useful in various fields. Near real-time applications in the case of traffic management of mass events or catastrophes and non time critical applications in the wide field of general transport ...

We introduce a parallel implementation of the histogram of oriented gradients algorithm for object detection. Our implementation uses the GPU and the NVIDIA CUDA framework. We achieve speedups of over 67x from the standard sequential code, using a single video card. Furthermore it supports multiple video cards so speedups of 120x or more can be achieved. This allows us to achieve real-time perf...