Results 1 - 10 of 89

MULTI-CAMERA PEOPLE TRACKINGWITH HIERARCHICAL LIKELIHOOD GRIDS

by Lili Chen, Giorgio Panin, Alois Knoll
"... Abstract: In this paper, we present a grid-based tracking by detection methodology, applied to 3D people tracking for multi-camera video surveillance. In particular, frame-by-frame detection is performed by means of hierar-chical likelihood grids, using edge matching through the oriented distance tr ..."
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Abstract: In this paper, we present a grid-based tracking by detection methodology, applied to 3D people tracking for multi-camera video surveillance. In particular, frame-by-frame detection is performed by means of hierar-chical likelihood grids, using edge matching through the oriented distance

Abstract ODAC: Hierarchical Clustering of Time Series Data Streams ∗

by Pedro Pereira, Rodrigues João, Gama João, Pedro Pedroso
"... This paper presents a time series whole clustering system that incrementally constructs a tree-like hierarchy of clusters, using a top-down strategy. The Online Divisive-Agglomerative Clustering (ODAC) system uses a correlation-based dissimilarity measure between time series over a data stream and p ..."
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This paper presents a time series whole clustering system that incrementally constructs a tree-like hierarchy of clusters, using a top-down strategy. The Online Divisive-Agglomerative Clustering (ODAC) system uses a correlation-based dissimilarity measure between time series over a data stream

Self-calibrating Cameras in Video Surveillance

by Roman Pflugfelder , 2008
"... This thesis addresses the automatic calibration of two static surveillance cameras in a manmade world with orthogonal and parallel structures and a common ground plane. An approach is taken where the calibration of the interior orientation, the undistortion of the lens and the calibration of a cam ..."
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segments to process a video stream instead of a single image. The advantage of video is that orthogonal and parallel edge

Organization of Parallel Query Processing in Multiprocessor Database Machines with Hierarchical Architecture // Programming and

by L. B. Sokolinsky - Computer Software
"... Abstract. The development of database systems with hierarchical hardware architecture is currently a perspective trend in the field of parallel database machines. Hierarchical architectures have been suggested with the aim to combine advantages of shared-nothing architectures and shared-memory archi ..."
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, with each cluster being a two-level multiprocessor structure with a standard strongly connected topology of interprocessor connections. A stream model for organization of parallel query processing in systems with the hierarchical architecture suggested is described. This model has been implemented in a

Geometric monitoring of heterogeneous streams

by Daniel Keren, Guy Sagy, Amir Abboud, David Ben-david, Assaf Schuster, Izchak Sharfman, Antonios Deligiannakis - IEEE TKDE , 2013
"... Abstract—Interest in stream monitoring is shifting toward the distributed case. In many applications the data is high volume, dynamic, and distributed, making it infeasible to collect the distinct streams to a central node for processing. Often, the monitoring problem consists of determining whether ..."
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Abstract—Interest in stream monitoring is shifting toward the distributed case. In many applications the data is high volume, dynamic, and distributed, making it infeasible to collect the distinct streams to a central node for processing. Often, the monitoring problem consists of determining

TOPOLOGY ESTIMATION FOR THOUSAND-CAMERA SURVEILLANCE NETWORKS

by Henry Detmold, Anton Van Den Hengel, Anthony Dick, Alex Cichowski, Rhys Hill, Ekim Kocadag, Katrina Falkner, David S. Munro
"... ABSTRACT expensive and remarkably ineffective: trained operators lose Surveillance camera technologies have reached the point concentration and miss a high percentage of significant events whereby networks of a thousand cameras are not uncommon. after only a few minutes. Consequently, there is a nee ..."
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have constructed and measured on-line approaches to the works, we use distributed processing on a dedicated cluster. key activity topology problem for such networks. We measure Our focus is on determining activity topology- the paths ob- scalability up to one thousand cameras, report whole-system jects

Dynamic Partitioning of Big Hierarchical Graphs∗

by Vasilis Spyropoulos, Yannis Kotidis
"... Hierarchical graphs are multigraphs, which have as vertices the leaf nodes of a tree that lays out a hierarchy, and as edges the interac-tions between the entities represented by these nodes. In this paper we deal with the management of records that are the edges of such a graph by describing a mode ..."
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Hierarchical graphs are multigraphs, which have as vertices the leaf nodes of a tree that lays out a hierarchy, and as edges the interac-tions between the entities represented by these nodes. In this paper we deal with the management of records that are the edges of such a graph by describing a

Automatically and Efficiently Inferring the Hierarchical Structure of Visual Maps

by Margarita Chli, Andrew J. Davison
"... (SLAM), it is well known that probabilistic filtering approaches which aim to estimate the robot and map state sequentially suffer from poor computational scaling to large map sizes. Various authors have demonstrated that this problem can be mitigatedbyapproximationswhichtreatestimatesoffeaturesin d ..."
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for automatically determining a suitable submap division for SLAM maps, and apply this to visual maps built with a single agile camera. We use the mutual information between predicted measurements of features as an absolute measure of correlation, and cluster highly correlated features into groups. Via tree

The Growing Hierarchical Self-Organizing Map (GHSOM) for analysing multi-dimensional stream habitat datasets

by S. Bizzi, R. F. Harrison, D. N. Lerner
"... Abstract: River field surveys are carried out to describe biological habitats and the main geomorphic features of a river stretch. They can be extensive, expensive and time consuming campaigns sampling a high number of features. These features belong to a complex river ecosystem characterized by man ..."
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, are analyzed for 7000 sites, and hierarchical patterns are obtained. The algorithm produces hierarchical structure of four layers of clusters: from a general classification of stream habitats composed of 6 clusters to a very fine one with a few hundred clusters. This complex hierarchical structure is firstly

Efficient Hierarchical Graph-Based Segmentation of RGBD Videos

by Steven Hickson, Stan Birchfield, Irfan Essa, Henrik Christensen
"... We present an efficient and scalable algorithm for seg-menting 3D RGBD point clouds by combining depth, color, and temporal information using a multistage, hierarchical graph-based approach. Our algorithm processes a moving window over several point clouds to group similar regions over a graph, resu ..."
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We present an efficient and scalable algorithm for seg-menting 3D RGBD point clouds by combining depth, color, and temporal information using a multistage, hierarchical graph-based approach. Our algorithm processes a moving window over several point clouds to group similar regions over a graph
Results 1 - 10 of 89