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SotA/Computer Vision/Procedure Step Recognition

Procedure Step Recognition

3 benchmarks1 papers

Procedure Step Recognition (PSR) focuses on recognizing the correct completion and order of procedural steps. Unlike traditional action recognition, which lacks a measure of success for actions, PSR aims to provide a meaningful understanding for procedural videos: recognizing the outcome (complete? correct?) of a procedural step is often more relevant than recognizing (partial) execution of an action.

Therefore, the objective of PSR is to extract an estimate of all procedure steps correctly performed by a person up to time ttt, based on sensory inputs Xt=(xt,xt−1,…,xt−h)X_t=(x_t, x_{t-1}, \dots, x_{t-h})Xt​=(xt​,xt−1​,…,xt−h​) and a descriptive set of the procedural actions to be performed P={a0,a1,…,an}\mathcal{P}=\{a_0, a_1, \dots, a_n\}P={a0​,a1​,…,an​}. Here, hhh is the observation horizon and n+1n+1n+1 the total number of actions~ai∈Pa_i\in \mathcal{P}ai​∈P covered in the procedure.

Benchmarks

Procedure Step Recognition on IndustReal

Delay (seconds)F1POS