A Unified Hierarchical Appearance Model for People Re-identification Using Multi-view Vision Sensors
PCM '08 Proceedings of the 9th Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
Loitering Detection Using Bayesian Appearance Tracker and List of Visitors
PCM '08 Proceedings of the 9th Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
Unsupervised Pedestrian Re-identification for Loitering Detection
PSIVT '09 Proceedings of the 3rd Pacific Rim Symposium on Advances in Image and Video Technology
Video Sequences Association for People Re-identification across Multiple Non-overlapping Cameras
ICIAP '09 Proceedings of the 15th International Conference on Image Analysis and Processing
A hierarchical image kernel with application to pedestrian identification for video surveillance
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Understanding transit scenes: a survey on human behavior-recognition algorithms
IEEE Transactions on Intelligent Transportation Systems
People reacquisition across multiple cameras with disjoint views
ICISP'10 Proceedings of the 4th international conference on Image and signal processing
People re-identification by graph kernels methods
GbRPR'11 Proceedings of the 8th international conference on Graph-based representations in pattern recognition
Person re-identification by descriptive and discriminative classification
SCIA'11 Proceedings of the 17th Scandinavian conference on Image analysis
A graph-kernel method for re-identification
ICIAR'11 Proceedings of the 8th international conference on Image analysis and recognition - Volume Part I
Person re-identification using appearance classification
ICIAR'11 Proceedings of the 8th international conference on Image analysis and recognition - Volume Part II
Multiple-shot person re-identification by chromatic and epitomic analyses
Pattern Recognition Letters
Boosted human re-identification using Riemannian manifolds
Image and Vision Computing
Attribute-restricted latent topic model for person re-identification
Pattern Recognition
Part-based spatio-temporal model for multi-person re-identification
Pattern Recognition Letters
Intelligent multi-camera video surveillance: A review
Pattern Recognition Letters
Symmetry-driven accumulation of local features for human characterization and re-identification
Computer Vision and Image Understanding
Learning articulated body models for people re-identification
Proceedings of the 21st ACM international conference on Multimedia
People reidentification in surveillance and forensics: A survey
ACM Computing Surveys (CSUR)
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This paper presents a vision-based method to automatically detect individuals loitering about inner-city bus stops. Using a stationary camera view of a bus stop, pedestrians are segmented and tracked throughout the scene. The system takes snapshots of individuals when a clean, nonobstructed view of a pedestrian is found. The snapshots are then used to classify the individual images into a database, using an appearance-based method. The features used to correlate individual images are based on short-term biometrics, which are changeable but stay valid for short periods of time; this system uses clothing color. A linear discriminant method is applied to the color information to enhance the differences and minimize similarities between the different individuals in the feature space. To determine if a given individual is loitering, time stamps collected with the snapshots in their corresponding database class can be used to judge how long an individual has been present. An experiment was performed using a 30-min video of a busy bus stop with six individuals loitering about it. Results show that the system successfully classifies images of all six individuals as loitering.