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All Outputs (63)

MedHelp: Enhancing medication compliance for demented elderly people with wearable visual intelligence (2016)
Journal Article
Mandal, B. (2016). MedHelp: Enhancing medication compliance for demented elderly people with wearable visual intelligence. https://doi.org/10.1186/s41070-016-0006-5

Dementia results in much stress in senior citizens and and immensely affects their quality of life. It also incurs huge financial and emotional burdens to their family members. Personal information assistance may alleviate such a problem by enhancing... Read More about MedHelp: Enhancing medication compliance for demented elderly people with wearable visual intelligence.

Trends in Machine and Human Face Recognition (2016)
Book Chapter
Mandal, B., Lim, R. Y., Dai, P., Sayed, M. R., Li, L., & Lim, J. H. (2016). Trends in Machine and Human Face Recognition. In Advances in Face Detection and Facial Image Analysis (145-187). Springer. https://doi.org/10.1007/978-3-319-25958-1_7

Face recognition (FR) is a natural and intuitive way for human beings to identify or verify or at least get familiar and interact with other members of the community. Hence, human beings expect and endeavor to develop similar competency in machine re... Read More about Trends in Machine and Human Face Recognition.

Egocentric activity recognition with multimodal fisher vector (2016)
Conference Proceeding
Song, S., Cheung, N., Chandrasekhar, V., Mandal, B., & Liri, J. (2016). Egocentric activity recognition with multimodal fisher vector. In 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). https://doi.org/10.1109/icassp.2016.7472171

With the increasing availability of wearable devices, research on egocentric activity recognition has received much attention recently. In this paper, we build a Multimodal Egocentric Activity dataset which includes egocentric videos and sensor data... Read More about Egocentric activity recognition with multimodal fisher vector.

Whole space subclass discriminant analysis for face recognition (2015)
Conference Proceeding
Mandal, B., Li, L., Chandrasekhar, V., & Lim, J. H. (2015). Whole space subclass discriminant analysis for face recognition. . https://doi.org/10.1109/icip.2015.7350814

In this work, we propose to divide each class (a person) into subclasses using spatial partition trees which helps in better capturing the intra-personal variances arising from the appearances of the same individual. We perform a comprehensive analys... Read More about Whole space subclass discriminant analysis for face recognition.

Improved Eigenfeature Regularization for Face Identification (2015)
Presentation / Conference
Mandal, B. (2015, September). Improved Eigenfeature Regularization for Face Identification. Paper presented at ICIP 2015 - IEEE International Conference on Image Processing

In this work, we propose to divide each class (a person) into subclasses using spatial partition trees which helps in better capturing the intra-personal variances arising from the appearances of the same individual. We perform a comprehensive analys... Read More about Improved Eigenfeature Regularization for Face Identification.

Enhancing Social Interaction with Seamless Face Recognition on Google Glass: Leveraging opportunistic multi-tasking on smart phones (2015)
Presentation / Conference
Chia, S., Mandal, B., Xu, Q., Li, L., & Lim, J. (2015, August). Enhancing Social Interaction with Seamless Face Recognition on Google Glass: Leveraging opportunistic multi-tasking on smart phones. Poster presented at 17th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct, Copenhagen, Denmark

Wearable devices offer immense opportunities in both consumer and enterprise domains due to the hands-free interaction modality and the ability to provide information in real-time. However, due to hardware limitations, it presents a notable challenge... Read More about Enhancing Social Interaction with Seamless Face Recognition on Google Glass: Leveraging opportunistic multi-tasking on smart phones.

Evaluating Human Performance in Dynamic Perspective Invariant Face Recognition (2015)
Presentation / Conference
Lim, R., Ragab Sayed, M., Mandal, B., Teck Ma, K., Li, L., & Hwee Lim, J. (2015, July). Evaluating Human Performance in Dynamic Perspective Invariant Face Recognition. Paper presented at 11th Asia-Pacific Conference on Vision (APCV), Singapore

The aim of this study is to investigate and derive plausible consistent eye gaze scan path, and set of facial features learnt from unfamiliar faces in unconstrained dynamic motion (rigid and non-rigid motion) for subsequent recognition tasks using ps... Read More about Evaluating Human Performance in Dynamic Perspective Invariant Face Recognition.

Evaluation of Descriptors and Distance Measures on Benchmarks and First-Person-View Videos for Face Identification (2015)
Conference Proceeding
Mandal, B., Zhikai, W., Li, L., & Kassim, A. A. (2015). Evaluation of Descriptors and Distance Measures on Benchmarks and First-Person-View Videos for Face Identification. In Computer Vision - ACCV 2014 Workshops (585-599). https://doi.org/10.1007/978-3-319-16628-5_42

Face identification (FI) has made significant amount of progress in the last three decades. Its application is now moving towards wearable devices (like Google Glass and mobile devices) leading to the problem of FI on first-person-views (FPV) or ego-... Read More about Evaluation of Descriptors and Distance Measures on Benchmarks and First-Person-View Videos for Face Identification.

Exploring Users Attitudes towards Social Interaction Assistance on Google Glass (2015)
Conference Proceeding
Xu, Q., Mukawa, M., Li, L., Hwee Lim, J., Tan, C., Ching Chia, S., …Mandal, B. (2015). Exploring Users Attitudes towards Social Interaction Assistance on Google Glass. . https://doi.org/10.1145/2735711.2735831

Wearable vision brings about new opportunities for augmenting humans in social interactions. However, along with it comes privacy concerns and possible information overload. We explore users' needs and attitudes toward augmented interaction in face-t... Read More about Exploring Users Attitudes towards Social Interaction Assistance on Google Glass.

A Wearable Face Recognition System on Google Glass for Assisting Social Interactions (2015)
Conference Proceeding
Mandal, B., Chia, S., Li, L., Chandrasekhar, V., Tan, C., & Lim, J. (2015). A Wearable Face Recognition System on Google Glass for Assisting Social Interactions. In Image Processing, Computer Vision, Pattern Recognition, and Graphics (419-433). https://doi.org/10.1007/978-3-319-16634-6_31

In this paper, we present a wearable face recognition (FR) system on Google Glass (GG) to assist users in social interactions. FR is the first step towards face-to-face social interactions. We propose a wearable system on GG, which acts as a social i... Read More about A Wearable Face Recognition System on Google Glass for Assisting Social Interactions.

Efficient Retrieval from Large-Scale Egocentric Visual Data Using a Sparse Graph Representation (2014)
Conference Proceeding
Min, W., Li, X., Tan, C., Mandal, B., Li, L., & Lim, J. H. (2014). Efficient Retrieval from Large-Scale Egocentric Visual Data Using a Sparse Graph Representation. In IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). https://doi.org/10.1109/cvprw.2014.84

We propose representing one's visual experiences (captured as a series of ego-centric videos) as a sparse-graph, where each node is an individual frame in the video, and nodes are connected if there exists a geometric transform between them. Such a g... Read More about Efficient Retrieval from Large-Scale Egocentric Visual Data Using a Sparse Graph Representation.

Markerless Video Analysis for Movement Quantification in Pediatric Epilepsy Monitoring (2011)
Conference Proceeding
Lu, H., Eng, H., Mandal, B., Chan, D. W., & Ng, Y. (2011). Markerless Video Analysis for Movement Quantification in Pediatric Epilepsy Monitoring. . https://doi.org/10.1109/IEMBS.2011.6092040

This paper proposes a markerless video analytic system for quantifying body part movements in pediatric epilepsy monitoring. The system utilizes colored pajamas worn by a patient in bed to extract body part movement trajectories, from which various f... Read More about Markerless Video Analysis for Movement Quantification in Pediatric Epilepsy Monitoring.

Kernel Fisher Discriminant Analysis in Full Eigenspace (2008)
Book Chapter
Mandal. (2008). Kernel Fisher Discriminant Analysis in Full Eigenspace. In Proceedings of the 2007 International Conference on Image Processing, Computer Vision, & Pattern Recognition, IPCV 2007, June 25-28, 2007, Las Vegas Nevada, (235-241)

This work proposes a method which enables us to perform kernel Fisher discriminant analysis in the whole eigenspace for face recognition. It employs the ratio of eigenvalues to decompose the entire kernel feature space into two subspaces: a reliable... Read More about Kernel Fisher Discriminant Analysis in Full Eigenspace.

Improved Bayesian Approach for Face Recognition (2005)
Conference Proceeding
Jiang, X., Mandal, B., & Kot, A. (2005). Improved Bayesian Approach for Face Recognition. In 2005 5th International Conference on Information Communications & Signal Processing, Bangkok, 2005 (162-166). https://doi.org/10.1109/ICICS.2005.1689026

In subspace face recognition, PCA, LDA and Bayesian are the most commonly used methods. Each of them has their own advantages and disadvantages in recognizing human faces. Their recognition rates depend much on the methodologies used in selecting/tra... Read More about Improved Bayesian Approach for Face Recognition.