SST: Single-Stream Temporal Action Proposals
Our paper presents a new approach for temporal detection of human actions in long, untrimmed video sequences. We introduce Single-Stream Temporal Action Proposals (SST), a new effective and efficient deep architecture for the generation of temporal action proposals. Our network can run continuously in a single stream over very long input video sequences, without the need to divide input into short overlapping clips or temporal windows for batch processing. We demonstrate empirically that our model outperforms the state-of-the-art on the task of temporal action proposal generation, while achieving some of the fastest processing speeds in the literature. Finally, we demonstrate that using SST proposals in conjunction with existing action classifiers results in improved state-of-the-art temporal action detection performance.
Code (1)
Tasks
Action DetectionTemporal Action Proposal GenerationSimilar Papers 제목 키워드 기반
Investigation on Combining 3D Convolution of Image Data and Optical Flow to Generate Temporal Action Proposals
In this paper, several variants of two-stream architectures for temporal action proposal generation in long, untrimmed videos are presented. Inspired by the recent advances in the field of human action recognition utiliz…
Action RecognitionOptical Flow EstimationTemporal Action LocalizationTemporal Action Proposal GenerationTemporally Object-based Video Co-Segmentation
In this paper, we propose an unsupervised video object co-segmentation framework based on the primary object proposals to extract the common foreground object(s) from a given video set. In addition to the objectness attr…
ObjectSegmentationImproving Action Localization by Progressive Cross-stream Cooperation
Spatio-temporal action localization consists of three levels of tasks: spatial localization, action classification, and temporal segmentation. In this work, we propose a new Progressive Cross-stream Cooperation (PCSC) fr…
Action ClassificationAction DetectionAction LocalizationSpatio-Temporal Action Localization+1Fast Learning of Temporal Action Proposal via Dense Boundary Generator
Generating temporal action proposals remains a very challenging problem, where the main issue lies in predicting precise temporal proposal boundaries and reliable action confidence in long and untrimmed real-world videos…
General ClassificationOptical Flow EstimationregressionTemporal Action LocalizationDecoupling Localization and Classification in Single Shot Temporal Action Detection
Video temporal action detection aims to temporally localize and recognize the action in untrimmed videos. Existing one-stage approaches mostly focus on unifying two subtasks, i.e., localization of action proposals and cl…
Action DetectionClassificationGeneral ClassificationTemporal Action Localization