Real-time clothing recognition in surveillance videos

126 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Large scale visual recommendations from street fashion images (2014, background): “Other related papers on fashion domain [4, 9, 13, 14, 15] work on the problem of fashion parsing and similarity retrieval where the goal is to retrieve similar fashion image for a given query.”
Parsing clothing in fashion photographs (2012, background): “Vision algorithms to recognize clothing have a wide variety of potential impacts, ranging from better social understanding , to improved person identification [11], surveillance [26], computer graphics [14], or content-based image retrieval [25].”
Parsing Clothes in Unrestricted Images (2013, methodology): “In [17], cloth recognition is proposed for surveillance videos where the”
Style Finder: Fine-Grained Clothing Style Detection and Retrieval (2013, background): “Others have studied clothing recognition in surveillance videos [12].”
Describing Clothing by Semantic Attributes (2012, background): “Yang and Yu [20] proposed a clothing recognition system that identifies clothing categories such as “suit” and “T-shirt”.”
Street-to-shop: Cross-scenario clothing retrieval via parts alignment and auxiliary set (2012, methodology): “Yu et al. [20] proposed to integrate face detection, tracking and clothing segmentation to recognize clothing in surveillance video.”