Please use this identifier to cite or link to this item:
|Title:||Temporally enhanced image object proposals for online video object and action detections||Authors:||Yang, Jiong
|Keywords:||Engineering::Computer science and engineering||Issue Date:||2018||Source:||Yang, J., & Yuan, J. (2018). Temporally enhanced image object proposals for online video object and action detections. Journal of Visual Communication and Image Representation, 53, 245-256. doi:10.1016/j.jvcir.2018.03.018||Journal:||Journal of Visual Communication and Image Representation||Abstract:||Despite the recent advances of image object proposals (IOPs) and video object proposals (VOPs), it still remains a challenge to apply them to online video object/action detection. To address this problem, we propose a novel form of image object proposals, Temporally Enhanced Image Object Proposals (TE-IOPs), for online video object/action detection. The proposed TE-IOPs augment the existing IOPs at every frame by their temporal dynamics in the past few frames. We develop a dynamic programming scheme to efficiently search for such TE-IOPs in an online manner. Compared with existing VOPs that cannot run online, our TE-IOPs can be used for online detection. Compared with IOPs, our TE-IOPs bring rich temporal dynamics with minor computational cost. Experiments on benchmark datasets validate the superior performance of the proposed TE-IOPs over existing IOPs and VOPs, in terms of both the proposal re-ranking and the application of online action detection.||URI:||https://hdl.handle.net/10356/142119||ISSN:||1047-3203||DOI:||10.1016/j.jvcir.2018.03.018||Rights:||© 2018 Elsevier Inc. All rights reserved.||Fulltext Permission:||none||Fulltext Availability:||No Fulltext|
|Appears in Collections:||IGS Journal Articles|
Updated on Apr 13, 2021
Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.