Soft Biometric Recognition from Comparative Crowdsourced Annotations
نویسندگان
چکیده
Soft biometrics provide cues that enable human identification from low quality video surveillance footage. This paper discusses a new crowdsourced dataset, collecting comparative soft biometric annotations from a rich set of human annotators. We now include gender as a comparative trait, and find comparative labels are more objective and obtain more accurate measurements than previous categorical labels. Using our pragmatic dataset, we perform semantic recognition by inferring relative biometric signatures. This demonstrates a practical scenario, reproducing responses from a video surveillance operator searching for an individual. The experiment is guaranteed to return the correct match in the the top 7% of results with 10 comparisons, or top 13% of results using just 5 sets of subject comparisons.
منابع مشابه
Analysing comparative soft biometrics from crowdsourced annotations
Soft biometrics enable human description and identification from low quality surveillance footage. This paper premises the design, collection and analysis of a novel crowdsourced dataset of comparative soft biometric body annotations, obtained from a richly diverse set of human annotators. We annotate 100 subject images to provide a coherent, in-depth appraisal of the collected annotations and ...
متن کاملRobust Online Gesture Recognition with Crowdsourced Annotations
Crowdsourcing is a promising way to reduce the effort of collecting annotations for training gesture recognition systems. Crowdsourced annotations suffer from ”noise” such as mislabeling, or inaccurate identification of start and end time of gesture instances. In this paper we present SegmentedLCSS and WarpingLCSS, two template-matching methods offering robustness when trained with noisy crowds...
متن کاملA Preliminary Study of a New Soft Biometric: Finger Recognition for Keystroke Dynamics
Keystroke dynamics is an interesting biometric modality as a user can be authenticated while typing a passphrase or a password on a keyboard. In order to improve the accuracy of biometric systems, it is possible to exploit some prior information that can be known or extracted from the biometric raw data. This process is known as ”soft biometrics”. In this paper, we propose a new soft biometric ...
متن کاملIntegrating Faces, Fingerprints, and Soft Biometric Traits for User Recognition
Soft biometric traits like gender, age, height, weight, ethnicity, and eye color cannot provide reliable user recognition because they are not distinctive and permanent. However, such ancillary information can complement the identity information provided by the primary biometric traits (face, fingerprint, hand-geometry, iris, etc.). This paper describes a hybrid biometric system that uses face ...
متن کاملExploring soft biometric trait with finger vein recognition
Soft biometric trait has been used as ancillary information to enhance the recognition accuracy for face, fingerprint, gait, iris, etc. In this paper, we present a new investigation of soft biometric trait to improve the performance of finger vein recognition. We first propose some extraction criteria of soft biometric trait for comprehensively understanding this kind of ancillary information. ...
متن کامل