On Semantic Soft-Biometric Labels
نویسندگان
چکیده
A new approach to soft biometrics aims to use human labelling as part of the process. This is consistent with analysis of surveillance video where people might be imaged at too low resolution or quality for conventional biometrics to be deployed. In this manner, people use anatomical descriptions of subjects to achieve recognition, rather than the usual measurements of personal characteristics used in biometrics. As such the labels need careful consideration in their construction, and should demonstrate correlation consistent with known human physiology. We describe our original process for generating these labels and analyse relationships between them. This gives insight into the perspicacity of using a human labelling system for biometric
منابع مشابه
Soft Biometric Recognition from Comparative Crowdsourced Annotations
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 categoric...
متن کاملSemiautomatic Image Retrieval Using the High Level Semantic Labels
Content-based image retrieval and text-based image retrieval are two fundamental approaches in the field of image retrieval. The challenges related to each of these approaches, guide the researchers to use combining approaches and semi-automatic retrieval using the user interaction in the retrieval cycle. Hence, in this paper, an image retrieval system is introduced that provided two kind of qu...
متن کاملAnalysing 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 کاملKeynote lecture 3: "On gait and soft biometrics for surveillance"
The prime advantage of gait as a biometric is that it can be used for recognition at a distance whereas other biometrics cannot. There is a rich selection of approaches and many advances have been made, as will be reviewed in this talk. Soft biometrics is an emerging area of interest in biometrics where we augment computer vision derived measures by human descriptions. Applied to gait biometric...
متن کاملBiometric classifier update using online learning: A case study in near infrared face verification
The performance of a large scale biometric system may deteriorate over time as new individuals are continually enrolled. To maintain an acceptable level of performance, the classifier has to be re-trained offline in batch mode using both existing and new data. The process of re-training can be computationally expensive and time consuming. This paper presents a new biometric classifier update al...
متن کامل