Jul 28, 2020 · In this work, we address the problem of anticipating the interactions between people monitored by single as well as multiple camera views. To ...

2) Transformed Optical Flow Components. Optical flow magnitude and orientation are computed from optical flow vectors as follows: Mx,y = q. (ri x)2 + (ri y)2 ...

Oct 22, 2024 · In this work, we address the problem of anticipating the interactions between people monitored by single as well as multiple camera views. To ...

The experimental results show that the proposed approach to integrate Deep Features with novel hand-crafted features, namely Transformed Optical Flow ...

In this work, we address the problem of anticipating the interactions between people monitored by single as well as multiple camera views. To this end, we ...

In this work, we address the problem of anticipating the interactions between people monitored by single as well as multiple camera views. To this end, we ...

Human interaction anticipation by combining deep features and transformed optical flow components. MS Computer Science Students: Citation burst prediction in ...

The proposed method to use flow coding images to represent the low-level motion information in videos and extract deep temporal features using a deep ...

Bibi et al. [84] explored the integration of Transformed Optical Flow Components (TOFCs) into CNN architecture to anticipate ongoing human interactions, while ...

Bibi S., Anjum N., Amjad T., McRobbie G., Ramzan N., Human Interaction Anticipation by Combining Deep Features and Transformed Optical Flow Components, „IEEE ...