Open Access
FDDB: A benchmark for face detection in unconstrained settings
Vidit Jain,Erik Learned-Miller +1 more
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TLDR
A new data set of face images with more faces and more accurate annotations for face regions than in previous data sets is presented and two rigorous and precise methods for evaluating the performance of face detection algorithms are proposed.Abstract:
Despite the maturity of face detection research, it remains difficult to compare different algorithms for face detection. This is partly due to the lack of common evaluation schemes. Also, existing data sets for evaluating face detection algorithms do not capture some aspects of face appearances that are manifested in real-world scenarios. In this work, we address both of these issues. We present a new data set of face images with more faces and more accurate annotations for face regions than in previous data sets. We also propose two rigorous and precise methods for evaluating the performance of face detection algorithms. We report results of several standard algorithms on the new benchmark.read more
Citations
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Proceedings ArticleDOI
Multiple objects tracking based on multiple information integration
TL;DR: The experimental results show that the single target tracker based on strong discriminative ability and the Kalman predictor can track accurately when the target is covered or moves fast.
Network Cascade for Face Detection
Haoxiang Lit,Xiaohui Shen +1 more
TL;DR: This work proposes a cascade architecture built on convolutional neural networks (CNNs) with very powerful discrim inative capability, while maintaining high performance, and achieves state-of-the-art detection on two public face detection benchmarks.
Proceedings ArticleDOI
A Novel Landmark Detector System for Multi Resolution Frontal Faces
TL;DR: A facial landmarking system to improve the performance of landmark location accuracy for the tree-structured based facial detector proposed recently by Zhu and Ramanan and reduce false positive rates significantly.
Proceedings ArticleDOI
Audience Tracking and Cheering Content Control in Sports Events
TL;DR: In this study, the person detection is made with the multi-task cascaded convolutional neural network and facial landmarks representing the facial regions and the regions related to them are determined as a result of this process.
Book ChapterDOI
Album to Family Tree: A Graph Based Method for Family Relationship Recognition.
TL;DR: The experimental result shows that the proposed pictorial structure based method can construct a family tree effectively and improve the overall accuracy of kinship identification.
References
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Journal ArticleDOI
Robust Real-Time Face Detection
Paul A. Viola,Michael Jones +1 more
TL;DR: In this paper, a face detection framework that is capable of processing images extremely rapidly while achieving high detection rates is described. But the detection performance is limited to 15 frames per second.
Journal ArticleDOI
The Hungarian method for the assignment problem
TL;DR: This paper has always been one of my favorite children, combining as it does elements of the duality of linear programming and combinatorial tools from graph theory, and it may be of some interest to tell the story of its origin this article.
Proceedings Article
On Spectral Clustering: Analysis and an algorithm
TL;DR: A simple spectral clustering algorithm that can be implemented using a few lines of Matlab is presented, and tools from matrix perturbation theory are used to analyze the algorithm, and give conditions under which it can be expected to do well.
Journal ArticleDOI
Neural network-based face detection
TL;DR: A neural network-based upright frontal face detection system that arbitrates between multiple networks to improve performance over a single network, and a straightforward procedure for aligning positive face examples for training.
Journal ArticleDOI
Detecting faces in images: a survey
TL;DR: In this article, the authors categorize and evaluate face detection algorithms and discuss relevant issues such as data collection, evaluation metrics and benchmarking, and conclude with several promising directions for future research.