DeepAI AI Chat
Log In Sign Up

Deep View-Sensitive Pedestrian Attribute Inference in an end-to-end Model

07/19/2017
by   M. Saquib Sarfraz, et al.
0

Pedestrian attribute inference is a demanding problem in visual surveillance that can facilitate person retrieval, search and indexing. To exploit semantic relations between attributes, recent research treats it as a multi-label image classification task. The visual cues hinting at attributes can be strongly localized and inference of person attributes such as hair, backpack, shorts, etc., are highly dependent on the acquired view of the pedestrian. In this paper we assert this dependence in an end-to-end learning framework and show that a view-sensitive attribute inference is able to learn better attribute predictions. Our proposed model jointly predicts the coarse pose (view) of the pedestrian and learns specialized view-specific multi-label attribute predictions. We show in an extensive evaluation on three challenging datasets (PETA, RAP and WIDER) that our proposed end-to-end view-aware attribute prediction model provides competitive performance and improves on the published state-of-the-art on these datasets.

READ FULL TEXT

page 8

page 9

page 10

09/25/2017

Attribute Recognition by Joint Recurrent Learning of Context and Correlation

Recognising semantic pedestrian attributes in surveillance images is a c...
03/26/2023

POAR: Towards Open-World Pedestrian Attribute Recognition

Pedestrian attribute recognition (PAR) aims to predict the attributes of...
01/22/2019

Pedestrian Attribute Recognition: A Survey

Recognizing pedestrian attributes is an important task in computer visio...
08/06/2017

End-to-end learning potentials for structured attribute prediction

We present a structured inference approach in deep neural networks for m...
07/05/2016

Attribute Recognition from Adaptive Parts

Previous part-based attribute recognition approaches perform part detect...
03/06/2019

Large-Scale Pedestrian Retrieval Competition

The Large-Scale Pedestrian Retrieval Competition (LSPRC) mainly focuses ...
06/17/2021

Learning to Predict Visual Attributes in the Wild

Visual attributes constitute a large portion of information contained in...