Multimodal Person Reidentification Using RGB-D Cameras


Person reidentification consists of recognizing individuals across completely different sensors of a camera network. Whereas clothing appearance cues are widely used, different modalities may be exploited as further information sources, like anthropometric measures and gait. In this paper, we investigate whether or not the reidentification accuracy of clothing appearance descriptors will be improved by fusing them with anthropometric measures extracted from depth information, using RGB-D sensors, in unconstrained settings. We also propose a dissimilarity-based mostly framework for building and fusing the multimodal descriptors of pedestrian images for reidentification tasks, as an alternate to the widely used score-level fusion. The experimental analysis is dispensed on two information sets as well as RGB-D knowledge, one among which may be a novel publicly offered information set that we acquired using Kinect sensors. The fusion with anthropometric measures increases the first-rank recognition rate of clothing look descriptors up to twentypercent, whereas our fusion approach reduces the processing cost of the matching part.

Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here

PROJECT TITLE : Boosting Structure Consistency for Multispectral and Multimodal Image Registration ABSTRACT: In computer vision and computational photography, multispectral imaging is essential. It is vital to align spectral band
PROJECT TITLE : Multimodal Change Detection in Remote Sensing Images Using an Unsupervised Pixel Pairwise-Based Markov Random Field Model ABSTRACT: The multimodal change detection (CD) problem in remote sensing imaging is addressed
PROJECT TITLE : A New Multi-Atlas Registration Framework for Multimodal Pathological Images Using Conventional Monomodal Normal Atlases ABSTRACT: For tasks like ROI segmentation, anatomical landmark recognition, and so on, information
PROJECT TITLE :Semantic Neighbor Graph Hashing for Multimodal Retrieval - 2018ABSTRACT:Hashing strategies are widely used for approximate nearest neighbor search in recent years due to its computational and storage effectiveness.
PROJECT TITLE :Local Multimodal Serial Analysis for Fusing EEG-fMRI: A New Method to Study Familial Cortical Myoclonic Tremor and EpilepsyABSTRACT:Integrating information of neuroimaging multimodalities, like electroencephalography

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry