Infosys Limited

Kishore Jonna

Radha Krishna Pisipati

Rudra Narayan Hota

Satyabrata Pradhan

Shahanaz Syed

Harikrishna G N Rai

P Radha Krishna

Subhadip Bandyopadhyay

Rudra Narayana Hota

A method, non-transitory computer readable medium, and device for clustering a network includes obtaining information regarding a network including relationship information for a plurality of nodes of the network. A weight value for each of a plurality of directly connected pairs of the plurality of nodes is determined, wherein the directly connected pair are identified based on the relationship information. At least one topology score is generated for each of the plurality of nodes. A plurality of clusters is generated using the topology scores and one of the plurality of nodes as a seed node for each of the clusters. At least the seed node used to generate at least a subset of the plurality of clusters is output.

Methods for clustering networks based on topology discovery and devices thereof

Systems and methods for multi-dimensional object detection are described. Embodiments disclose receiving image frames, extracting image components in the image frame, identifying line segments in the extracted components, grouping the line segments into groups, based at least in part on one or more similarities between the slope associated with a line segment and the spatial proximity between the line segments, and merging each of the one or more identified line segments in a selected group into a single line segment. Embodiments additionally disclose detecting the position of one or more objects in the image frame by identifying objects in the image frame, producing a second version of the image frame, applying at least one image classifier to the image frame and the second version of the image frame, and identifying coordinates associated with at least one target object. Some embodiments additionally couple lane and object detection with alert generation.

Systems and methods for multi-dimensional object detection

A method, non-transitory computer readable medium, and apparatus that extracts at least one key image from one or more images of an object. Outer boundary markers for an identifier of the object in the at least one key image are detected. An identification sequence from the identifier of the object between the outer boundary markers in the at least one key image is recognized. The recognized identification sequence of the object in the at least one key image is provided.

Methods for detecting and recognizing a moving object in video and devices thereof

A method and system for analyzing on-road traffic density are provided. The method involves allowing a user to select a video image capturing device and coordinates in a video image frame captured by the video image capturing device such that the coordinates form a region of interest (ROI). The ROI is processed to generate a confidence value and a traffic density value. The traffic density value is compared with a first set of threshold values. Based on the comparison, the traffic density values at different instants in a time window are displayed to enable monitoring of the traffic trend.

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Kishore Jonna