Video camera registration using accumulated co-motion maps

The paper presents a method to register partially overlapping camera-views of scenes where the objects of interest are in motion even if unstructured environment and motion. In a typical outdoor multi-camera system the observed objects might be very different due to the changes in lighting conditions and different camera positions. Hence, static features such as color, shape, and contours cannot be used for camera registration in these cases. Calculation of co-motion statistics, which is followed by outlier rejection and a nonlinear optimization, does the matching. The described robust algorithm finds point correspondences in two camera views (images) without searching for any objects and without tracking any continuous motion. Real-life outdoor experiments demonstrate the feasibility of our approac

Higher order symmetry for non-linear classification of human walk detection

The paper focuses on motion-based information extraction from cluttered video image-sequences. A novel method is introduced which can reliably detect walking human figures contained in such images. The method works with spatio-temporal input information to detect and classify patterns typical of human movement. Our algorithm consists of real-time operations, which is an important factor in practical applications. The paper presents a new information-extraction and temporal-tracking method based on a simplified version of the symmetry pattern extraction, which pattern is characteristic for the moving legs of a walking person. These spatio-temporal traces are labelled by kernel Fisher discriminant analysis. With the use of temporal tracking and non-linear classification we have achieved pedestrian detection from cluttered image scenes with a correct classification rate of 97.6% from 1-2 step periods. The detection rates of linear classifier and SVM are also presented in the results hereby the necessity of a nonlinear method and the power of KFDA for this detection task is also demonstrated

Search in WikiImages using mobile phone

Demonstration will focus on the content based retrieval of Wikipedia images (Hungarian version). A mobile application for iOS will be used to gather images and send directly to the crossmodal processing framework. Searching is implemented in a high performance hybrid index tree with total ~500k entries. The hit list is converted to wikipages and ordered by the content based score

Behavior and event detection for annotation and surveillance

Visual surveillance and activity analysis is an active research field of computer vision. As a result, there are several different algorithms produced for this purpose. To obtain more robust systems it is desirable to integrate the different algorithms. To achieve this goal, the paper presents results in automatic event detection in surveillance videos, and a distributed application framework for supporting these methods. Results in motion analysis for static and moving cameras, automatic fight detection, shadow segmentation, discovery of unusual motion patterns, indexing and retrieval will be presented. These applications perform real time, and are suitable for real life applications

Estimation of the vanishing point in camera-mirror scenes using from video

Knowledge of the vanishing-point position is the key for the geometrical modeling of reflective surfaces or cast shadows. An automatic method is presented using motion statistics to determine correspondences, and an improved fitting function for final parameter estimation which takes into account the statistical properties of image-points. The experiments show that our approach gives robust results in the context of widely different environments especially in cases where the correspondences are corrupted with considerable amounts of noise