Human action recognition by extracting features from negative space

Shah Atiqur Rahman, M. K.H. Leung, Siu Yeung Cho

Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

3 Citations (Scopus)


A region based technique is proposed here to recognize human actions where features are extracted from the surrounding regions of a human silhouette termed as negative space. Negative space has the ability to describe poses as good as the positive spaces (i.e. silhouette based methods) with the advantage of describing poses by simple shapes. Moreover, it can be combined with silhouette based methods to make an improved system in terms of accuracy and computa-tional costs. Main contributions in this paper are two folded: proposed a method to isolate and discard long shadows from segmented binary images, and generalize the idea of negative space to work under viewpoint changes. The system consists of hierarchical processing of background segmentation, shadow elimination, speed calculation, region partitioning, shape based feature extraction and sequence matching by Dynamic Time Warping. The recognition accuracy of our system for Weizmann dataset is 100% and for KTH dataset is 95.49% which are comparable with state-of-the-art methods.

Original languageEnglish
Title of host publicationImage Analysis and Processing, ICIAP 2011 - 16th International Conference, Proceedings
Number of pages11
EditionPART 2
Publication statusPublished - 2011
Externally publishedYes
Event16th International Conference on Image Analysis and Processing, ICIAP 2011 - Ravenna, Italy
Duration: 14 Sept 201116 Sept 2011

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 2
Volume6979 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference16th International Conference on Image Analysis and Processing, ICIAP 2011


  • Dynamic time warping
  • Human action recognition
  • Negative space
  • Silhouette
  • complex activity
  • fuzzy function

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science (all)


Dive into the research topics of 'Human action recognition by extracting features from negative space'. Together they form a unique fingerprint.

Cite this