Nec Corporation

Nanyang Technological University

Ncs Pte, Ltd.

Arun Kumar Chandran

Wen Ju Zhang

Yusuke Takahashi

Hui Lam Ong

Xuan Jing

Weisi Lin

Wen Zhang

GuoQing Zhang

In some aspects, a method for object re-identification may include obtaining a first set of images from a first camera, and a second set of images from at least one second camera; determining a first set of features based on the first set of images, the first set of features lying in a first feature space; and determining a second set of features based on the second set of images, the second set of features lying in a second feature space. The method may additionally include determining a first feature projection matrix and a second feature projection matrix that respectively map the first set of features and the second set of features to a shared feature space; and determining a common dictionary based on the shared feature space.

Object re-identification using multiple cameras

Methods and systems for crowd level estimation are provided. The system for crowd level estimation includes an input module and a crowd level estimation module. The input module receives an input image of a crowd and the crowd level estimation module estimates a crowd level of the crowd in the input image in response to a crowd density level.

Method, system and computer readable medium of deriving crowd information

Methods and systems for crowd level estimation are provided. The system includes a plurality of performance modeling modules (), an input module () and a crowd estimation technique integration module. The plurality of performance modeling modules () performance model each of a plurality of crowd estimation techniques based on an accuracy thereof at different crowd levels and/or at different locations. The input module () receives an image of a crowd. The crowd estimation technique integration module () selects one or more of the plurality of crowd estimation techniques in response to the performance modeling of the one or more of the plurality of crowd estimation techniques and an estimated crowd level and/or an estimated location. The crowd estimation technique integration module () then estimates a crowd count of the crowd in the received image in accordance with the selected one or more of the plurality of crowd estimation techniques.

Method, system and computer readable medium for integration and automatic switching of crowd estimation techniques

Method, system and computer readable medium for estimating crowd level using image of crowd

The present disclosure relates to methods and systems for identifying an individual in a crowd. The method comprises the steps of capturing a plurality of crowd-viewing images using multiple image-capturing devices. For each image, a reference point within a facial contour of a person in the image is selected. The reference point is selected based on a facial feature on the facial contour of the person. The method further comprises the step of processing the image to obtain one or more angular measurements associated with a posture displayed by the person in the image. Based on the obtained angular measurements, location data of a predetermined body point of the person relative to the reference point is extracted.

Method and system for identifying an individual in a crowd

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Singapore, Singapore

Arun Kumar Chandran